List of Publications
This page lists both peer-reviewed publications and preprints by IOL Lab members.
Preprints
- Bolusani, S., Besançon, M., Bestuzheva, K., Chmiela, A., Dionísio, J., Donkiewicz, T., van Doornmalen, J., Eifler, L., Ghannam, M., Gleixner, A., Graczyk, C., Halbig, K., Hedtke, I., Hoen, A., Hojny, C., van der Hulst, R., Kamp, D., Koch, T., Kofler, K., … Xu, L. (2024). The SCIP Optimization Suite 9.0 (ZIB Report No. 24-02-29). Zuse Institute Berlin.
[URL]
[arXiv]
[code]
[BibTeX]
- Göß, A., Martin, A., Pokutta, S., and Sharma, K. (2024). Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions.
[URL]
[arXiv]
[BibTeX]
- Borst, S., Eifler, L., and Gleixner, A. (2024). Certified Constraint Propagation and Dual Proof Analysis in a Numerically Exact MIP Solver.
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Woodstock, Z. (2024). Flexible Block-iterative Analysis for the Frank-Wolfe Algorithm.
[arXiv]
[BibTeX]
- Goerigk, M., Hartisch, M., Merten, S., and Sharma, K. (2024). Feature-Based Interpretable Optimization.
[arXiv]
[BibTeX]
- Głuch, G., Turan, B., Nagarajan, S. G., and Pokutta, S. (2024). The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses.
[arXiv]
[BibTeX]
- Halbig, K., Hoen, A., Gleixner, A., Witzig, J., and Weninger, D. (2024). A Diving Heuristic for Mixed-integer Problems with Unbounded Semi-continuous Variables.
[arXiv]
[BibTeX]
- Hoen, A., Kamp, D., and Gleixner, A. (2024). MIP-DD: A Delta Debugger for Mixed Integer Programming Solvers.
[arXiv]
[BibTeX]
- Liu, Y.-C., and Shang, J. (2024). Beating the Optimal Verification of Entangled States Via Collective Strategies.
[arXiv]
[BibTeX]
- Mexi, G., Serrano, F., Berthold, T., Gleixner, A., and Nordström, J. (2024). Cut-based Conflict Analysis in Mixed Integer Programming.
[arXiv]
[BibTeX]
- Mundinger, K., Zimmer, M., and Pokutta, S. (2024). Neural Parameter Regression for Explicit Representations of PDE Solution Operators.
[arXiv]
[BibTeX]
- Parczyk, O., and Spiegel, C. (2024). An Unsure Note on an Un-Schur Problem.
[arXiv]
[BibTeX]
- Haase, J., and Pokutta, S. (2024). Human-AI Co-Creativity: Exploring Synergies Across Levels of Creative Collaboration.
[arXiv]
[BibTeX]
- Prause, F., and Borndörfer, R. (2024). An Iterative Refinement Approach for the Rolling Stock Rotation Problem with Predictive Maintenance.
[arXiv]
[BibTeX]
- Roux, C., Zimmer, M., and Pokutta, S. (2024). On the Byzantine-resilience of Distillation-based Federated Learning.
[arXiv]
[BibTeX]
- Wirth, E., Besançon, M., and Pokutta, S. (2024). The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control.
[arXiv]
[BibTeX]
- Wirth, E., Pena, J., and Pokutta, S. (2024). Fast Convergence of Frank-Wolfe Algorithms on Polytopes.
[arXiv]
[BibTeX]
- Prause, F. (2023). A Multi-Swap Heuristic for Rolling Stock Rotation Planning with Predictive Maintenance (ZIB Report No. 23-29). Zuse Institute Berlin.
[URL]
[BibTeX]
- Prause, F., and Borndörfer, R. (2023). Construction of a Test Library for the Rolling Stock Rotation Problem with Predictive Maintenance (ZIB Report No. 23-20). Zuse Institute Berlin.
[URL]
[BibTeX]
- Gelß, P., Issagali, A., and Kornhuber, R. (2023). Fredholm Integral Equations for Function Approximation and the Training of Neural Networks.
[arXiv]
[BibTeX]
- Gelß, P., Klein, R., Matera, S., and Schmidt, B. (2023). Quantum Dynamics of Coupled Excitons and Phonons in Chain-like Systems: Tensor Train Approaches and Higher-order Propagators.
[arXiv]
[BibTeX]
- Klus, S., and Gelß, P. (2023). Continuous Optimization Methods for the Graph Isomorphism Problem.
[arXiv]
[BibTeX]
- Martínez-Rubio, D., Roux, C., Criscitiello, C., and Pokutta, S. (2023). Accelerated Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties.
[arXiv]
[BibTeX]
- Sadiku, S., Wagner, M., and Pokutta, S. (2023). Group-wise Sparse and Explainable Adversarial Attacks.
[arXiv]
[BibTeX]
- Sharma, S., Mahmud, A., Tarabella, G., Mougoyannis, P., and Adamatzky, A. (2023). On Morphological and Functional Complexity of Proteinoid Microspheres.
[arXiv]
[BibTeX]
- Scieur, D., Kerdreux, T., Martínez-Rubio, D., d’Aspremont, A., and Pokutta, S. (2023). Strong Convexity of Sets in Riemannian Manifolds.
[arXiv]
[BibTeX]
- Stengl, S.-M. (2023). An Alternative Formulation of the Quantum Phase Estimation Using Projection-based Tensor Decompositions.
[arXiv]
[BibTeX]
- Turner, M., Chmiela, A., Koch, T., and Winkler, M. (2023). PySCIPOpt-ML: Embedding Trained Machine Learning Models Into Mixed-integer Programs.
[arXiv]
[BibTeX]
- Wirth, E., Pena, J., and Pokutta, S. (2023). Accelerated Affine-invariant Convergence Rates of the Frank-Wolfe Algorithm with Open-loop Step-sizes.
[arXiv]
[BibTeX]
- Woodstock, Z., and Pokutta, S. (2023). Splitting the Conditional Gradient Algorithm.
[arXiv]
[BibTeX]
- Zimmer, M., Andoni, M., Spiegel, C., and Pokutta, S. (2023). PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs.
[arXiv]
[code]
[BibTeX]
- van Doornmalen, J., Eifler, L., Gleixner, A., and Hojny, C. (2023). A Proof System for Certifying Symmetry and Optimality Reasoning in Integer Programming.
[arXiv]
[BibTeX]
- Braun, G., Carderera, A., Combettes, C., Hassani, H., Karbasi, A., Mokhtari, A., and Pokutta, S. (2022). Conditional Gradient Methods.
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Weismantel, R. (2022). Alternating Linear Minimization: Revisiting von Neumann’s Alternating Projections.
[arXiv]
[slides]
[video]
[BibTeX]
- Gelß, P., Klus, S., Shakibaei, Z., and Pokutta, S. (2022). Low-rank Tensor Decompositions of Quantum Circuits.
[arXiv]
[BibTeX]
- Hendrych, D., Troppens, H., Besançon, M., and Pokutta, S. (2022). Convex Integer Optimization with Frank-Wolfe Methods.
[arXiv]
[slides]
[code]
[BibTeX]
- Sharma, S., Marcucci, G., and Mahmud, A. (2022). A Complexity Perspective on Fluid Mechanics.
[arXiv]
[BibTeX]
- Zimmer, M., Spiegel, C., and Pokutta, S. (2022). Compression-aware Training of Neural Networks Using Frank-Wolfe.
[arXiv]
[BibTeX]
- Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2021). The SCIP Optimization Suite 8.0 (ZIB Report No. 21-41). Zuse Institute Berlin.
[URL]
[code]
[BibTeX]
- Kerdreux, T., d’Aspremont, A., and Pokutta, S. (2021). Local and Global Uniform Convexity Conditions. Preprint.
[arXiv]
[BibTeX]
- Carderera, A., Pokutta, S., Schütte, C., and Weiser, M. (2021). CINDy: Conditional gradient-based Identification of Non-linear Dynamics – Noise-robust recovery. Preprint.
[arXiv]
[summary]
[BibTeX]
- Bolusani, S., Coniglio, S., Ralphs, T. K., and Tahernejad, S. (2021). A Unified Framework for Multistage Mixed Integer Linear Optimization.
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2021). Dual Prices for Frank–Wolfe Algorithms.
[arXiv]
[BibTeX]
- Roux, C., Wirth, E., Pokutta, S., and Kerdreux, T. (2021). Efficient Online-bandit Strategies for Minimax Learning Problems.
[arXiv]
[BibTeX]
- Combettes, C., Spiegel, C., and Pokutta, S. (2020). Projection-free Adaptive Gradients for Large-scale Optimization.
[arXiv]
[summary]
[code]
[BibTeX]
- Pokutta, S., Spiegel, C., and Zimmer, M. (2020). Deep Neural Network Training with Frank-Wolfe.
[arXiv]
[summary]
[code]
[BibTeX]
- Carderera, A., and Pokutta, S. (2020). Second-order Conditional Gradient Sliding. Preprint.
[arXiv]
[summary]
[code]
[BibTeX]
- Salia, N., Spiegel, C., Tompkins, C., and Zamora, O. (2019). Independent Chains in Acyclic Posets.
[arXiv]
[BibTeX]
- Gelß, P., and Schütte, C. (2018). Tensor-generated Fractals - Using Tensor Decompositions for Creating Self-similar Patterns.
[arXiv]
[BibTeX]
- Bärmann, A., Martin, A., Pokutta, S., and Schneider, O. (2018). An Online-Learning Approach to Inverse Optimization. Submitted.
[arXiv]
[summary]
[slides]
[BibTeX]
- Braun, G., and Pokutta, S. (2016). An Efficient High-probability Algorithm for Linear Bandits.
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2015). An Information Diffusion Fano Inequality.
[arXiv]
[BibTeX]
- Hintermüller, M., and Stengl, S.-M. On the Convexity of Optimal Control Problems Involving Non-linear PDEs or VIs and Applications to Nash Games.
[URL]
[BibTeX]
- Hintermüller, M., and Stengl, S.-M. A Generalized 𝛤-convergence Concept for a Type of Equilibrium Problems.
[URL]
[BibTeX]
- Stengl, S.-M. Path-following Methods for Generalized Nash Equilibrium Problems.
[arXiv]
[BibTeX]
- Stengl, S.-M. Combined Regularization and Discretization of Equilibrium Problems and Primal-dual Gap Estimators.
[arXiv]
[BibTeX]
- Böttcher, J., Frankl, N., Cecchelli, D. M., Skokan, J., and Parczyk, O. Graphs with Large Minimum Degree and No Small Odd Cycles Are 3-colourable.
[arXiv]
[BibTeX]
- Designolle, S., Vértesi, T., and Pokutta, S. Better Bounds on Grothendieck Constants of Finite Orders.
[arXiv]
[BibTeX]
- Mattos, L., Cecchelli, D. M., and Parczyk, O. On Product Schur Triples in the Integers.
[arXiv]
[BibTeX]
- Turner, M., Berthold, T., Besançon, M., and Koch, T. Branching Via Cutting Plane Selection: Improving Hybrid Branching.
[arXiv]
[BibTeX]
- Díaz, A. E., Gupta, P., Cecchelli, D. M., Parczyk, O., and Sgueglia, A. Dirac’s Theorem for Graphs of Bounded Bandwidth.
[arXiv]
[BibTeX]
- Bolusani, S., Mexi, G., Besançon, M., and Turner, M. A Multi-Reference Relaxation Enforced Neighborhood Search Heuristic in SCIP.
[arXiv]
[BibTeX]
- Illingworth, F., Lang, R., Müyesser, A., Parczyk, O., and Sgueglia, A. Spanning Spheres in Dirac Hypergraphs.
[arXiv]
[BibTeX]
Conference Proceedings
- Wäldchen, S., Sharma, K., Turan, B., Zimmer, M., and Pokutta, S. (2024). Interpretability Guarantees with Merlin-Arthur Classifiers. Proceedings of International Conference on Artificial Intelligence and Statistics.
[arXiv]
[BibTeX]
- Hendrych, D., Besançon, M., and Pokutta, S. (2024). Solving the Optimal Experiment Design Problem with Mixed-integer Convex Methods. Proceedings of Symposium on Experimental Algorithms.
DOI: 10.4230/LIPIcs.SEA.2024.16
[arXiv]
[code]
[BibTeX]
- Kiem, A., Pokutta, S., and Spiegel, C. (2024). The 4-color Ramsey Multiplicity of Triangles. Proceedings of Discrete Mathematics Days.
[URL]
[arXiv]
[code]
[BibTeX]
- Mexi, G., Shamsi, S., Besançon, M., and le Bodic, P. (2024). Probabilistic Lookahead Strong Branching Via a Stochastic Abstract Branching Model. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research.
[arXiv]
[BibTeX]
- Zimmer, M., Spiegel, C., and Pokutta, S. (2024). Sparse Model Soups: A Recipe for Improved Pruning Via Model Averaging. Proceedings of International Conference on Learning Representations.
[URL]
[arXiv]
[BibTeX]
- Eifler, L., Witzig, J., and Gleixner, A. (2024). Branch and Cut for Partitioning a Graph Into a Cycle of Clusters. Proceedings of International Symposium on Combinatorial Optimization.
DOI: 10.1007/978-3-031-60924-4_8
[arXiv]
[BibTeX]
- Ghannam, M., Mexi, G., Lam, E., and Gleixner, A. (2024). Branch and Price for the Length-constrained Cycle Partition Problem. Proceedings of INFORMS Optimization Society Conference.
[URL]
[arXiv]
[BibTeX]
- Hoen, A., Oertel, A., Gleixner, A., and Nordström, J. (2024). Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 310–328.
DOI: 10.1007/978-3-031-60597-0_20
[arXiv]
[BibTeX]
- Kiem, A., Pokutta, S., and Spiegel, C. (2024). Categorification of Flag Algebras. Proceedings of Discrete Mathematics Days.
[URL]
[BibTeX]
- Martínez-Rubio, D., Roux, C., and Pokutta, S. (2024). Convergence and Trade-offs in Riemannian Gradient Descent and Riemannian Proximal Point. Proceedings of International Conference on Machine Learning.
[arXiv]
[BibTeX]
- Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024). Extending the Continuum of Six-Colorings. Proceedings of Discrete Mathematics Days.
[URL]
[arXiv]
[BibTeX]
- Pauls, J., Zimmer, M., Kelly, U. M., Schwartz, M., Saatchi, S., Ciais, P., Pokutta, S., Brandt, M., and Gieseke, F. (2024). Estimating Canopy Height at Scale. Proceedings of International Conference on Machine Learning.
[arXiv]
[code]
[BibTeX]
- Sharma, K., Hendrych, D., Besançon, M., and Pokutta, S. (2024). Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe. Proceedings of INFORMS Optimization Society Conference.
[arXiv]
[BibTeX]
- Zimmer, M., Spiegel, C., and Pokutta, S. (2023). How I Learned to Stop Worrying and Love Retraining. Proceedings of International Conference on Learning Representations.
[URL]
[arXiv]
[code]
[BibTeX]
- Bestuzheva, K., Gleixner, A., and Achterberg, T. (2023). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Products. Proceedings of Conference on Integer Programming and Combinatorial Optimization, 14–28.
DOI: 10.1007/978-3-031-32726-1_2
[arXiv]
[BibTeX]
- Martínez-Rubio, D., and Pokutta, S. (2023). Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties. Proceedings of Annual Conference on Learning Theory.
[URL]
[arXiv]
[poster]
[BibTeX]
- Parczyk, O., Pokutta, S., Spiegel, C., and Szabó, T. (2023). Fully Computer-assisted Proofs in Extremal Combinatorics. Proceedings of AAAI Conference on Artificial Intelligence.
DOI: 10.1609/aaai.v37i10.26470
[URL]
[arXiv]
[code]
[BibTeX]
- Turner, M., Berthold, T., Besançon, M., and Koch, T. (2023). Cutting Plane Selection with Analytic Centers and Multiregression. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research.
[BibTeX]
- Wirth, E., Kera, H., and Pokutta, S. (2023). Approximate Vanishing Ideal Computations at Scale. Proceedings of International Conference on Learning Representations.
[arXiv]
[slides]
[BibTeX]
- Wirth, E., Kerdreux, T., and Pokutta, S. (2023). Acceleration of Frank-Wolfe Algorithms with Open Loop Step-sizes. Proceedings of International Conference on Artificial Intelligence and Statistics.
[arXiv]
[BibTeX]
- Chmiela, A., Gleixner, A., Lichocki, P., and Pokutta, S. (2023). Online Learning for Scheduling MIP Heuristics. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 114–123.
DOI: 10.1007/978-3-031-33271-5_8
[BibTeX]
- Chmiela, A., Muñoz, G., and Serrano, F. (2023). Monoidal Strengthening and Unique Lifting in MIQCPs. Proceedings of Conference on Integer Programming and Combinatorial Optimization.
[URL]
[BibTeX]
- Criscitiello, C., Martínez-Rubio, D., and Boumal, N. (2023). Open Problem: Polynomial Linearly-convergent Method for G-convex Optimization? Proceedings of Annual Conference on Learning Theory.
[arXiv]
[BibTeX]
- Ghannam, M., and Gleixner, A. (2023). Hybrid Genetic Search for Dynamic Vehicle Routing with Time Windows. Proceedings of Conference of the Society for Operations Research in Germany.
[arXiv]
[BibTeX]
- Martínez-Rubio, D., Wirth, E., and Pokutta, S. (2023). Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond. Proceedings of Annual Conference on Learning Theory.
[arXiv]
[BibTeX]
- Mexi, G., Berthold, T., Gleixner, A., and Nordström, J. (2023). Improving Conflict Analysis in MIP Solvers by Pseudo-Boolean Reasoning. Proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 280, 27:1–27:19,
DOI: 10.4230/LIPIcs.CP.2023.27
[BibTeX]
- Mexi, G., Besançon, M., Bolusani, S., Chmiela, A., Hoen, A., and Gleixner, A. (2023). Scylla: a Matrix-free Fix-propagate-and-project Heuristic for Mixed-integer Optimization. Proceedings of Conference of the Society for Operations Research in Germany.
[arXiv]
[BibTeX]
- Rué, J. J., and Spiegel, C. (2023). The Rado Multiplicity Problem in Vector Spaces Over Finite Fields. Proceedings of European Conference on Combinatorics.
DOI: 10.5817/CZ.MUNI.EUROCOMB23-108
[URL]
[arXiv]
[code]
[BibTeX]
- Thuerck, D., Sofranac, B., Pfetsch, M., and Pokutta, S. (2023). Learning Cuts Via Enumeration Oracles. Proceedings of Conference on Neural Information Processing Systems.
[arXiv]
[BibTeX]
- Turner, M., Berthold, T., and Besançon, M. (2023). A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. Proceedings of Conference of the Society for Operations Research in Germany.
[arXiv]
[BibTeX]
- Gasse, M., Bowly, S., Cappart, Q., Charfreitag, J., Charlin, L., Chételat, D., Chmiela, A., Dumouchelle, J., Gleixner, A., Kazachkov, A. M., Khalil, E., Lichocki, P., Lodi, A., Lubin, M., Maddison, C. J., Christopher, M., Papageorgiou, D. J., Parjadis, A., Pokutta, S., … Kun, M. (2022). The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. Proceedings of Conference on Neural Information Processing Systems, 176, 220–231.
[URL]
[arXiv]
[BibTeX]
- Búi, M. N., Combettes, P. L., and Woodstock, Z. (2022). Block-activated Algorithms for Multicomponent Fully Nonsmooth Minimization. Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5428–5432.
DOI: 10.1109/ICASSP43922.2022.9747479
[URL]
[BibTeX]
- Combettes, P. L., and Woodstock, Z. (2022). Signal Recovery From Inconsistent Nonlinear Observations. Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5872–5876.
DOI: 10.1109/ICASSP43922.2022.9746145
[BibTeX]
- Criado, F., Martínez-Rubio, D., and Pokutta, S. (2022). Fast Algorithms for Packing Proportional Fairness and Its Dual. Proceedings of Conference on Neural Information Processing Systems.
[arXiv]
[poster]
[BibTeX]
- Macdonald, J., Besançon, M., and Pokutta, S. (2022). Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. Proceedings of International Conference on Machine Learning.
[arXiv]
[poster]
[video]
[BibTeX]
- Tsuji, K., Tanaka, K., and Pokutta, S. (2022). Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding. Proceedings of International Conference on Machine Learning.
[arXiv]
[summary]
[slides]
[code]
[video]
[BibTeX]
- Parczyk, O., Pokutta, S., Spiegel, C., and Szabó, T. (2022). New Ramsey Multiplicity Bounds and Search Heuristics. Proceedings of Discrete Mathematics Days.
[arXiv]
[code]
[BibTeX]
- Wäldchen, S., Huber, F., and Pokutta, S. (2022). Training Characteristic Functions with Reinforcement Learning: XAI-methods Play Connect Four. Proceedings of International Conference on Machine Learning.
[arXiv]
[poster]
[video]
[BibTeX]
- Wirth, E., and Pokutta, S. (2022). Conditional Gradients for the Approximately Vanishing Ideal. Proceedings of International Conference on Artificial Intelligence and Statistics.
[arXiv]
[summary]
[poster]
[code]
[BibTeX]
- Bestuzheva, K., Gleixner, A., and Völker, H. (2022). Strengthening SONC Relaxations with Constraints Derived From Variable Bounds. Proceedings of Proceedings of the Hungarian Global Optimization Workshop HUGO 2022, 41–44.
[URL]
[arXiv]
[BibTeX]
- Carderera, A., Besançon, M., and Pokutta, S. (2021). Simple Steps Are All You Need: Frank-Wolfe and Generalized Self-concordant Functions. Proceedings of Conference on Neural Information Processing Systems, 34, 5390–5401.
[URL]
[arXiv]
[summary]
[slides]
[poster]
[code]
[BibTeX]
- Chmiela, A., Khalil, E. B., Gleixner, A., Lodi, A., and Pokutta, S. (2021). Learning to Schedule Heuristics in Branch-and-bound. Proceedings of Conference on Neural Information Processing Systems, 34, 24235–24246.
[URL]
[arXiv]
[poster]
[BibTeX]
- Carderera, A., Diakonikolas, J., Lin, C. Y., and Pokutta, S. (2021). Parameter-free Locally Accelerated Conditional Gradients. Proceedings of ICML.
[arXiv]
[slides]
[BibTeX]
- Combettes, P. L., and Woodstock, Z. (2021). A Fixed Point Framework for Recovering Signals From Nonlinear Transformations. Proceedings of 2020 28th European Signal Processing Conference (EUSIPCO), 2120–2124.
DOI: 10.23919/Eusipco47968.2020.9287736
[arXiv]
[BibTeX]
- Kerdreux, T., d’Aspremont, A., and Pokutta, S. (2021). Projection-Free Optimization on Uniformly Convex Sets. To Appear in Proceedings of AISTATS.
[arXiv]
[summary]
[slides]
[BibTeX]
- Böttcher, J., Sgueglia, A., Skokan, J., and Parczyk, O. (2021). Cycle Factors in Randomly Perturbed Graphs. Proceedings of LAGOS 2021, 195, 404–411.
DOI: 10.1016/j.procs.2021.11.049
[BibTeX]
- Clemens, D., Hamann, F., Mogge, Y., and Parczyk, O. (2021). Waiter-Client Games on Randomly Perturbed Graphs. Proceedings of 11th EuroComb Conference, 14, 397–403.
DOI: 10.1007/978-3-030-83823-2_62
[BibTeX]
- Sofranac, B., Gleixner, A., and Pokutta, S. (2021). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Proceedings of International Conference on Principles and Practice of Constraint Programming, 52:1–17.
DOI: 10.4230/LIPIcs.CP.2021.52
[URL]
[arXiv]
[video]
[BibTeX]
- Chmiela, A., Muñoz, G., and Serrano, F. (2021). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Proceedings of Integer Programming and Combinatorial Optimization: 22nd International Conference, IPCO 2021, 134–147.
DOI: 10.1007/978-3-030-73879-2_10
[BibTeX]
- Böttcher, J., Sgueglia, A., Skokan, J., and Parczyk, O. (2021). The Square of a Hamilton Cycle in Randomly Perturbed Graphs. Proceedings of 11th EuroComb Conference, 14, 644–650.
DOI: 10.1007/978-3-030-83823-2_103
[arXiv]
[BibTeX]
- Pokutta, S. (2020). Restarting Algorithms: Sometimes there is Free Lunch. Proceedings of CPAIOR.
[arXiv]
[slides]
[video]
[BibTeX]
- Mortagy, H., Gupta, S., and Pokutta, S. (2020). Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization. Proceedings of NeurIPS.
[arXiv]
[slides]
[poster]
[code]
[video]
[BibTeX]
- Combettes, C. W., and Pokutta, S. (2020). Boosting Frank-Wolfe by Chasing Gradients. Proceedings of ICML.
[PDF]
[arXiv]
[summary]
[slides]
[code]
[video]
[BibTeX]
- Hoppmann-Baum, K., Mexi, G., Burdakov, O., Casselgren, C. J., and Koch, T. (2020). Minimum Cycle Partition with Length Requirements. Proceedings of International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 12296, 273–282.
DOI: 10.1007/978-3-030-58942-4_18
[BibTeX]
- Iommazzo, G., D’Ambrosio, C., Frangioni, A., and Liberti, L. (2020). Learning to Configure Mathematical Programming Solvers by Mathematical Programming. Proceedings of Learning and Intelligent Optimization Conference.
DOI: 10.1007/978-3-030-53552-0_34
[BibTeX]
- Liberti, L., Iommazzo, G., Lavor, C., and Maculan, N. (2020). A Cycle-based Formulation for Distance Geometry Problem. Proceedings of 18th Cologne-Twente Workshop on Graphs and Combinatorial Optimization.
DOI: 10.1007/978-3-030-63072-0_8
[BibTeX]
- Sofranac, B., Gleixner, A., and Pokutta, S. (2020). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Proceedings of 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, IA3 2020, 1–11.
DOI: 10.1109/IA351965.2020.00007
[arXiv]
[summary]
[slides]
[video]
[BibTeX]
- Iommazzo, G., D’Ambrosio, C., Frangioni, A., and Liberti, L. (2020). A Learning-based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers. Proceedings of International Conference on Machine Learning, Optimization and Data Science.
DOI: 10.1007/978-3-030-64583-0_61
[BibTeX]
- Ziemke, T., Sering, L., Vargas Koch, L., Zimmer, M., Nagel, K., and Skutella, M. (2020). Flows Over Time As Continuous Limits of Packet-based Network Simulations. Proceedings of EURO Working Group on Transportation Meeting.
[BibTeX]
- Pfetsch, M., and Pokutta, S. (2020). IPBoost – Non-Convex Boosting via Integer Programming. To Appear in Proceedings of ICML.
[arXiv]
[summary]
[slides]
[code]
[BibTeX]
- Pokutta, S., Singh, M., and Torrico, A. (2020). On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness. To Appear in Proceedings of ICML.
[arXiv]
[summary]
[slides]
[poster]
[video]
[BibTeX]
- Diakonikolas, J., Carderera, A., and Pokutta, S. (2020). Locally Accelerated Conditional Gradients. Proceedings of AISTATS.
[PDF]
[arXiv]
[summary]
[slides]
[code]
[video]
[BibTeX]
- Braun, G., Pokutta, S., Tu, D., and Wright, S. (2019). Blended Conditional Gradients: the Unconditioning of Conditional Gradients. Proceedings of International Conference on Machine Learning, 97, 735–743.
[URL]
[arXiv]
[summary]
[slides]
[poster]
[code]
[BibTeX]
- Parczyk, O. (2019). Almost Spanning Universality in Random Graphs. Proceedings of 10th EuroComb Conference, 88(3), 997–1002.
[URL]
[BibTeX]
- Hubai, T., Král, D., Person, Y., and Parczyk, O. (2019). More Non-bipartite Forcing Pairs. Proceedings of 10th EuroComb Conference, 88(3), 819–825.
[URL]
[arXiv]
[BibTeX]
- Berger, S., Kohayakawa, Y., Maesaka, G. S., Martins, T., Mendonça, W., Mota, G. O., and Parczyk, O. (2019). The Size-Ramsey Number of Powers of Bounded Degree Trees. Proceedings of 10th EuroComb Conference, 88(3), 451–456.
[URL]
[arXiv]
[BibTeX]
- Barros, G. F., Cavalar, B. P., Mota, G. O., and Parczyk, O. (2019). Anti-Ramsey Threshold of Cycles for Sparse Graphs. Proceedings of LAGOS 2019, 346, 89–98.
DOI: 10.1016/j.entcs.2019.08.009
[arXiv]
[BibTeX]
- Pokutta, S., Singh, M., and Torrico, A. (2019). On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness. OPTML Workshop Paper.
[PDF]
[summary]
[poster]
[BibTeX]
- Diakonikolas, J., Carderera, A., and Pokutta, S. (2019). Breaking the Curse of Dimensionality (Locally) to Accelerate Conditional Gradients. OPTML Workshop Paper.
[PDF]
[arXiv]
[summary]
[slides]
[poster]
[code]
[BibTeX]
- Combettes, C. W., and Pokutta, S. (2019). Blended Matching Pursuit. Proceedings of NeurIPS.
[PDF]
[arXiv]
[summary]
[slides]
[poster]
[code]
[BibTeX]
- Kerdreux, T., d’Aspremont, A., and Pokutta, S. (2019). Restarting Frank-Wolfe. Proceedings of AISTATS.
[PDF]
[arXiv]
[summary]
[slides]
[BibTeX]
- Anari, N., Haghtalab, N., Naor, S., Pokutta, S., Singh, M., and Torrico, A. (2019). Structured Robust Submodular Maximization: Offline and Online Algorithms. Proceedings of AISTATS.
[PDF]
[arXiv]
[BibTeX]
- Rué, J. J., and Spiegel, C. (2018). On a Problem of Sárközy and Sós for Multivariate Linear Forms. Proceedings of Discrete Mathematics Days.
[URL]
[arXiv]
[BibTeX]
- Inanlouganji, A., Pedrielli, G., Fainekos, G., and Pokutta, S. (2018). Continuous Simulation Optimization with Model Mismatch Using Gaussian Process Regression. Proceedings of the 2018 Winter Simulation Conference.
[BibTeX]
- Pokutta, S., Singh, M., and Torrico, A. (2018). Efficient algorithms for robust submodular maximization under matroid constraints. ICML Workshop Paper.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Zink, D. (2017). Lazifying Conditional Gradient Algorithms. Proceedings of International Conference on Machine Learning, 70, 566–575.
[URL]
[arXiv]
[slides]
[poster]
[BibTeX]
- Braun, G., and Strüngmann, L. (2017). Rigid ℵ₁-free Abelian Groups with Prescribed Factors and their Role in the Theory of Cellular Covers. Proceedings of Groups, Modules, and Model Theory - Surveys and Recent Developments: In Memory of Rüdiger Göbel, 69–81.
DOI: 10.1007/978-3-319-51718-6_4
[BibTeX]
- Kusch, C., Rué, J. J., Spiegel, C., and Szabó, T. (2017). Random Strategies Are Nearly Optimal for Generalized Van Der Waerden Games. Proceedings of European Conference on Combinatorics.
[URL]
[arXiv]
[BibTeX]
- Böttcher, J., Montgomery, R., Parczyk, O., and Person, Y. (2017). Embedding Spanning Bounded Degree Graphs in Randomly Perturbed Graphs. Proceedings of 9th EuroComb Conference, 61, 155–161.
DOI: 10.1016/j.endm.2017.06.033
[arXiv]
[BibTeX]
- Roy, A., Xu, H., and Pokutta, S. (2017). Reinforcement Learning under Model Mismatch. Proceedings of NIPS.
[arXiv]
[BibTeX]
- Bärmann, A., Pokutta, S., and Schneider, O. (2017). Emulating the Expert: Inverse Optimization through Online Learning. Proceedings of the International Conference on Machine Learning (ICML).
[PDF]
[arXiv]
[summary]
[slides]
[poster]
[video]
[BibTeX]
- Lan, G., Pokutta, S., Zhou, Y., and Zink, D. (2017). Conditional Accelerated Lazy Stochastic Gradient Descent. Proceedings of the International Conference on Machine Learning (ICML).
[PDF]
[arXiv]
[poster]
[BibTeX]
- Arumugam, K., Kadampot, I., Tahmasbi, M., Shah, S., Bloch, M., and Pokutta, S. (2017). Modulation Recognition Using Side Information and Hybrid Learning. Proceedings of IEEE DySPAN.
[BibTeX]
- Lubert, C. P., Romero, J. N., Sochacki, J. S., and Woodstock, Z. (2016). Rocket Launch Noise and the Coanda Effect. Proceedings of American Institute of Aeronautics and Astronautics (AIAA) SPACE 2016, 5626.
DOI: 10.2514/6.2016-5625
[URL]
[BibTeX]
- Braun, G., Pokutta, S., and Roy, A. (2016). Strong Reductions for Extended Formulations. Proceedings of Conference on Integer Programming and Combinatorial Optimization, 9682, 350–361.
DOI: 10.1007/978-3-319-33461-5_29
[arXiv]
[BibTeX]
- Braun, G., Brown-Cohen, J., Huq, A., Pokutta, S., Raghavendra, P., Roy, A., Weitz, B., and Zink, D. (2016). The Matching Problem Has No Small Symmetric SDP. Proceedings of Symposium on Discrete Algorithms, 1067–1078.
DOI: 10.1137/1.9781611974331.ch75
[arXiv]
[BibTeX]
- Roy, A., and Pokutta, S. (2016). Hierarchical Clustering via Spreading Metrics. Proceedings of NIPS.
[URL]
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Zink, D. (2015). Inapproximability of Combinatorial Problems Via Small LPs and SDPs. Proceedings of Annual Symposium on Theory of Computing, 107–116.
DOI: 10.1145/2746539.2746550
[arXiv]
[video]
[BibTeX]
- Braun, G., and Pokutta, S. (2015). The Matching Polytope Does Not Admit Fully-polynomial Size Relaxation Schemes. Proceedings of Symposium on Discrete Algorithms, 837–846.
DOI: 10.1137/1.9781611973730.57
[arXiv]
[BibTeX]
- Person, Y., and Parczyk, O. (2015). Spanning Structures and Universality in Sparse Hypergraphs. Proceedings of 8th Eurocomb Conference, 49, 611–619.
DOI: 10.1016/j.endm.2015.06.083
[arXiv]
[BibTeX]
- Pokutta, S. (2015). Information Theory and Polyhedral Combinatorics. Proceedings of 53rd Annual Allerton Conference on Communication, Control, and Computing.
[PDF]
[BibTeX]
- Xie, Y., Li, Q., and Pokutta, S. (2015). Supervised Online Subspace Tracking. Proceedings of Asilomar Conference on Signals, Systems, and Computers.
[BibTeX]
- Bazzi, A., Fiorini, S., Pokutta, S., and Svensson, O. (2015). Small linear programs cannot approximate Vertex
Cover within a factor of 2 - ε. Proceedings of FOCS.
[arXiv]
[slides]
[BibTeX]
- Song, R., Xie, Y., and Pokutta, S. (2015). Sequential Sensing with Model Mismatch. Proceedings of ISIT.
[BibTeX]
- Braun, G., Firorini, S., and Pokutta, S. (2014). Average Case Polyhedral Complexity of the Maximum Stable Set Problem. Proceedings of Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 28, 515–530.
DOI: 10.4230/LIPIcs.APPROX-RANDOM.2014.515
[URL]
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Xie, Y. (2014). Info-greedy Sequential Adaptive Compressed Sensing. Proceedings of Allerton Conference on Communication, Control, and Computing (Allerton), 858–865.
DOI: 10.1109/ALLERTON.2014.7028544
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2013). Common Information and Unique Disjointness. Proceedings of Annual Symposium on Foundations of Computer Science, 688–697.
[URL]
[BibTeX]
- Schmaltz, C., Pokutta, S., Heidorn, T., and Andrae, S. (2013). How to make regulators and shareholders happy under Basel III. Proceedings of the 26th Australasian Finance and Banking Conference.
DOI: 10.1016/j.jbankfin.2014.05.031
[URL]
[BibTeX]
- Briët, J., Dadush, D., and Pokutta, S. (2013). On the existence of 0/1 polytopes with high semidefinite extension complexity. Proceedings of ESA.
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2012). An Algebraic Approach to Symmetric Extended Formulations. Proceedings of International Symposium on Combinatorial Optimization, 7422, 141–152.
DOI: 10.1007/978-3-642-32147-4_14
[arXiv]
[BibTeX]
- Braun, G., Firorini, S., Pokutta, S., and Steurer, D. (2012). Approximation Limits of Linear Programs (beyond Hierarchies). Proceedings of Annual Symposium on Foundations of Computer Science, 480–489.
DOI: 10.1109/FOCS.2012.10
[arXiv]
[BibTeX]
- Fiorini, S., Massar, S., Pokutta, S., Tiwary, H. R., and de Wolf, R. (2012). Linear vs. Semidefinite Extended Formulations: Exponential Separation and Strong Lower Bounds. Proceedings of STOC.
[arXiv]
[BibTeX]
- Dey, S. S., and Pokutta, S. (2011). Design and verify: a new scheme for generating cutting-planes. Proceedings of IPCO, Lecture Notes in Computer Science, 6655, 143–155.
[arXiv]
[BibTeX]
- Helmke, H., Gluchshenko, O., Martin, A., Peter, A., Pokutta, S., and Siebert, U. (2011). Optimal Mixed-Mode Runway Scheduling. Proceedings of DACS.
[arXiv]
[BibTeX]
- Pokutta, S., and Schmaltz, C. (2011). A network model for bank lending capacity. Proceedings of Systemic Risk, Basel III, Financial Stability and Regulation.
[arXiv]
[BibTeX]
- Pokutta, S., and Schmaltz, C. (2011). Optimal Planning under Basel III Regulations. Proceedings of 24th Australasian Finance and Banking Conference.
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2010). Rank of Random Half-integral Polytopes. Proceedings of Electronic Notes in Discrete Mathematics, 36, 415–422.
DOI: 10.1016/j.endm.2010.05.053
[URL]
[BibTeX]
- Drewes, S., and Pokutta, S. (2010). Cutting-planes for weakly-coupled 0/1 second order cone programs. Electronic Notes in Discrete Mathematics, 36, 735–742.
[PDF]
[arXiv]
[BibTeX]
- Drewes, S., and Pokutta, S. (2010). Geometric mean maximization in the presence of discrete decisions. Proceedings of 23rd Australasian Finance and Banking Conference.
[BibTeX]
- Martin, A., Müller, J., and Pokutta, S. (2010). On clearing coupled day-ahead electricity markets. Proceedings of 23rd Australasian Finance and Banking Conference.
[arXiv]
[BibTeX]
- Pokutta, S., and Schulz, A. S. (2010). On the rank of generic cutting-plane proof systems. Proceedings of IPCO, Lecture Notes in Computer Science, 6080, 450–463.
[PDF]
[arXiv]
[BibTeX]
- Pokutta, S., and Schmaltz, C. (2009). Optimal degree of centralization of liquidity management. Proceedings of 22nd Australasian Finance and Banking Conference.
[arXiv]
[BibTeX]
Full Articles
- Abbas, A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D. J., Elmegreen, B. G., Franco, N., Fratini, F., Fuller, B., Gacon, J., Gonciulea, C., Gribling, S., Gupta, S., Hadfield, S., Heese, R., … Zoufal, C. (2024). Challenges and Opportunities in Quantum Optimization. Nature Reviews Physics.
DOI: https://doi.org/10.1038/s42254-024-00770-9
[arXiv]
[BibTeX]
- Carderera, A., Besançon, M., and Pokutta, S. (2024). Scalable Frank-Wolfe on Generalized Self-concordant Functions Via Simple Steps. SIAM Journal on Optimization, 34(3), 2231–2258.
DOI: 10.1137/23M1616789
[arXiv]
[summary]
[slides]
[poster]
[code]
[BibTeX]
- Braun, G., Guzmán, C., and Pokutta, S. (2024). Corrections to “Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization Via Information Theory.” IEEE Transactions on Information Theory, 70, 5408–5409.
DOI: 10.1109/TIT.2024.3357200
[BibTeX]
- Pokutta, S. (2024). The Frank-Wolfe Algorithm: a Short Introduction. Jahresbericht Der Deutschen Mathematiker-Vereinigung, 126(1), 3–35.
DOI: 10.1365/s13291-023-00275-x
[URL]
[arXiv]
[BibTeX]
- Bestuzheva, K., Gleixner, A., and Achterberg, T. (2024). Efficient Separation of RLT Cuts for Implicit and Explicit Bilinear Terms. Mathematical Programming.
DOI: https://doi.org/10.1007/s10107-024-02104-0
[arXiv]
[BibTeX]
- Deza, A., Pokutta, S., and Pournin, L. (2024). The Complexity of Geometric Scaling. Operations Research Letters, 52.
DOI: 10.1016/j.orl.2023.11.010
[arXiv]
[BibTeX]
- Parczyk, O., Pokutta, S., Spiegel, C., and Szabó, T. (2024). New Ramsey Multiplicity Bounds and Search Heuristics. Foundations of Computational Mathematics.
DOI: 10.1007/s10208-024-09675-6
[arXiv]
[code]
[BibTeX]
- Bolusani, S., Besançon, M., Gleixner, A., Berthold, T., D’Ambrosio, C., Muñoz, G., Paat, J., and Thomopulos, D. (2024). The MIP Workshop 2023 Computational Competition on Reoptimization. Mathematical Programming Computation.
DOI: 10.1007/s12532-024-00256-w
[arXiv]
[BibTeX]
- Designolle, S., Vértesi, T., and Pokutta, S. (2024). Symmetric Multipartite Bell Inequalities Via Frank-Wolfe Algorithms. Physics Review A.
[arXiv]
[BibTeX]
- Deza, A., Onn, S., Pokutta, S., and Pournin, L. (2024). Kissing Polytopes. SIAM Journal on Discrete Mathematics.
[arXiv]
[BibTeX]
- Eifler, L., and Gleixner, A. (2024). Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework. SIAM Journal on Optimization, 34(1), 742–763.
DOI: 10.1137/23M156046X
[URL]
[BibTeX]
- Eifler, L., Nicolas-Thouvenin, J., and Gleixner, A. (2024). Combining Precision Boosting with LP Iterative Refinement for Exact Linear Optimization. INFORMS Journal on Computing.
DOI: 10.1007/s10107-024-02104-0
[arXiv]
[BibTeX]
- Stengl, S.-M., Gelß, P., Klus, S., and Pokutta, S. (2024). Existence and Uniqueness of Solutions of the Koopman–von Neumann Equation on Bounded Domains. Journal of Physics A: Mathematical and Theoretical.
DOI: 10.1088/1751-8121/ad6f7d
[URL]
[arXiv]
[BibTeX]
- Böttcher, J., Sgueglia, A., Skokan, J., and Parczyk, O. (2024). The Square of a Hamilton Cycle in Randomly Perturbed Graphs. Random Structures & Algorithms, 65(2), 342–368.
DOI: 10.1002/rsa.21215
[arXiv]
[BibTeX]
- Tjusila, G., Besançon, M., Turner, M., and Koch, T. (2024). How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem. Operations Research Letters.
DOI: 10.1016/j.orl.2024.107105
[URL]
[arXiv]
[BibTeX]
- Hahn-Klimroth, M., Person, Y., and Parczyk, O. (2024). Minimum Degree Conditions for Containing an R-regular R-connected Subgraph. European Journal of Combinatorics, 118, 103940.
DOI: 10.1016/j.ejc.2024.103940
[arXiv]
[BibTeX]
- Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024). Extending the Continuum of Six-Colorings. Geombinatorics Quarterly, XXXIV.
[URL]
[arXiv]
[BibTeX]
- Allen, P., Pfenninger, V., and Parczyk, O. (2024). Resilience for Tight Hamiltonicity. Combinatorial Theory, 4, #9.
DOI: 10.5070/C64163846
[arXiv]
[BibTeX]
- Prause, F., Borndörfer, R., Grimm, B., and Tesch, A. (2024). Approximating Rolling Stock Rotations with Integrated Predictive Maintenance. Journal of Rail Transport Planning & Management, 30.
DOI: 10.1016/j.jrtpm.2024.100434
[BibTeX]
- Designolle, S., Iommazzo, G., Besançon, M., Knebel, S., Gelß, P., and Pokutta, S. (2023). Improved Local Models and New Bell Inequalities Via Frank-Wolfe Algorithms. Physical Review Research, 5(4).
DOI: 10.1103/PhysRevResearch.5.043059
[arXiv]
[slides]
[code]
[BibTeX]
- Besançon, M., Garcia, J. D., Legat, B., and Sharma, A. (2023). Flexible Differentiable Optimization Via Model Transformations. INFORMS Journal on Computing.
DOI: 10.1287/ijoc.2022.0283
[URL]
[arXiv]
[BibTeX]
- Bienstock, D., Muñoz, G., and Pokutta, S. (2023). Principled Deep Neural Network Training Through Linear Programming. Discrete Optimization.
[URL]
[arXiv]
[summary]
[BibTeX]
- Liberti, L., Iommazzo, G., Lavor, C., and Maculan, N. (2023). Cycle-based Formulations in Distance Geometry. Open Journal of Mathematical Optimization, 4(1).
DOI: 10.5802/ojmo.18
[arXiv]
[BibTeX]
- Bestuzheva, K., Gleixner, A., and Vigerske, S. (2023). A Computational Study of Perspective Cuts. Mathematical Programming Computation, 15, 703–731.
DOI: 10.1007/s12532-023-00246-4
[URL]
[arXiv]
[BibTeX]
- Gleixner, A., Gottwald, L., and Hoen, A. (2023). PaPILO: a Parallel Presolving Library for Integer and Linear Programming with Multiprecision Support. INFORMS Journal on Computing.
DOI: 10.1287/ijoc.2022.0171
[arXiv]
[BibTeX]
- Berthold, T., Mexi, G., and Salvagnin, D. (2023). Using Multiple Reference Vectors and Objective Scaling in the Feasibility Pump. EURO Journal on Computational Optimization, 11.
DOI: 10.1016/j.ejco.2023.100066
[BibTeX]
- Bestuzheva, K., Chmiela, A., Müller, B., Serrano, F., Vigerske, S., and Wegscheider, F. (2023). Global Optimization of Mixed-integer Nonlinear Programs with SCIP 8.0. Journal of Global Optimization.
DOI: 10.1007/s10898-023-01345-1
[URL]
[arXiv]
[BibTeX]
- Bestuzheva, K., Besançon, M., Chen, W.-K., Chmiela, A., Donkiewicz, T., van Doornmalen, J., Eifler, L., Gaul, O., Gamrath, G., Gleixner, A., Gottwald, L., Graczyk, C., Halbig, K., Hoen, A., Hojny, C., van der Hulst, R., Koch, T., Lübbecke, M., Maher, S. J., … Witzig, J. (2023). Enabling Research Through the SCIP Optimization Suite 8.0. ACM Transactions on Mathematical Software.
DOI: 10.1145/3585516
[arXiv]
[BibTeX]
- Eifler, L., and Gleixner, A. (2023). A Computational Status Update for Exact Rational Mixed Integer Programming. Mathematical Programming, 197, 793–812.
DOI: 10.1007/s10107-021-01749-5
[BibTeX]
- Kevin-Martin, A., Bärmann, A., Braun, K., Liers, F., Pokutta, S., Schneider, O., Sharma, K., and Tschuppik, S. (2023). Data-driven Distributionally Robust Optimization Over Time. INFORMS Journal on Optimization.
[arXiv]
[BibTeX]
- Kreimeier, T., Pokutta, S., Walther, A., and Woodstock, Z. (2023). On a Frank-Wolfe Approach for Abs-smooth Functions. Optimization Methods and Software.
[arXiv]
[BibTeX]
- Kruser, J., Sharma, K., Holl, J., and Nohadani, O. (2023). Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study. Critical Care Explorations.
[BibTeX]
- Gupta, P., Hamann, F., Müyesser, A., Sgueglia, A., and Parczyk, O. (2023). A General Approach to Transversal Versions of Dirac-type Theorems. Bulletin of the London Mathematical Society, 55, 2817–2839.
DOI: 10.1112/blms.12896
[arXiv]
[BibTeX]
- Riedel, J., Gelß, P., Klein, R., and Schmidt, B. (2023). WaveTrain: A Python Package for Numerical Quantum Mechanics of Chain-like Systems Based on Tensor Trains. The Journal of Chemical Physics, 158(16), 164801.
DOI: 10.1063/5.0147314
[URL]
[arXiv]
[BibTeX]
- Kohayakawa, Y., Mota, G. O., Schnitzer, J., and Parczyk, O. (2023). Anti-Ramsey Threshold of Complete Graphs for Sparse Graphs. Discrete Mathematics, 346(5), 113343.
DOI: 10.1016/j.disc.2023.113343
[arXiv]
[BibTeX]
- Combettes, C. W., and Pokutta, S. (2023). Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm. Mathematical Programming A, 197, 191–214.
DOI: 10.1007/s10107-021-01735-x
[PDF]
[arXiv]
[summary]
[slides]
[code]
[video]
[BibTeX]
- Wilken, S. E., Besançon, M., Kratochvíl, M., Kuate, C. A. F., Trefois, C., Gu, W., and Ebenhöh, O. (2022). Interrogating the Effect of Enzyme Kinetics on Metabolism Using Differentiable Constraint-based Models. Metabolic Engineering.
[BibTeX]
- Besançon, M., Carderera, A., and Pokutta, S. (2022). FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank-Wolfe Algorithms and Conditional Gradients. INFORMS Journal on Computing.
[arXiv]
[summary]
[slides]
[code]
[BibTeX]
- Kamčev, N., and Spiegel, C. (2022). Another Note on Intervals in the Hales-Jewett Theorem. Electronic Journal of Combinatorics, 29(1).
DOI: 10.37236/9400
[URL]
[arXiv]
[BibTeX]
- Sofranac, B., Gleixner, A., and Pokutta, S. (2022). Accelerating Domain Propagation: An Efficient GPU-parallel Algorithm Over Sparse Matrices. Parallel Computing, 109, 102874.
DOI: 10.1016/j.parco.2021.102874
[arXiv]
[summary]
[BibTeX]
- Bolusani, S., and Ralphs, T. K. (2022). A Framework for Generalized Benders’ Decomposition and Its Applications to Multilevel Optimization. Mathematical Programming, 196, 389–426.
DOI: 10.1007/s10107-021-01763-7
[arXiv]
[BibTeX]
- Gelß, P., Klein, R., Matera, S., and Schmidt, B. (2022). Solving the Time-independent Schrödinger Equation for Chains of Coupled Excitons and Phonons Using Tensor Trains. The Journal of Chemical Physics, 156, 024109.
DOI: 10.1063/5.0074948
[URL]
[arXiv]
[BibTeX]
- Sofranac, B., Gleixner, A., and Pokutta, S. (2022). An Algorithm-independent Measure of Progress for Linear Constraint Propagation. Constraints, 27, 432–455.
DOI: 10.1007/s10601-022-09338-9
[arXiv]
[BibTeX]
- Barros, G. F., Cavalar, B. P., Mota, G. O., and Parczyk, O. (2022). Anti-Ramsey Threshold of Cycles for Sparse Graphs. Discrete Applied Mathematics, 323, 228–235.
DOI: 10.1016/j.dam.2021.10.021
[arXiv]
[BibTeX]
- Böttcher, J., Sgueglia, A., Skokan, J., and Parczyk, O. (2022). Triangles in Randomly Perturbed Graphs. Combinatorics, Probability and Computing, 32(1), 91–121.
DOI: 10.1017/S0963548322000153
[arXiv]
[BibTeX]
- Chmiela, A., Muñoz, G., and Serrano, F. (2022). On the Implementation and Strengthening of Intersection Cuts for QCQPs. Mathematical Programming B, 197, 549–586.
DOI: 10.1007/s10107-022-01808-5
[BibTeX]
- Combettes, P. L., and Woodstock, Z. (2022). A Variational Inequality Model for the Construction of Signals From Inconsistent Nonlinear Equations. SIAM Journal on Imaging Sciences, 15(1), 84–109.
DOI: 10.1137/21M1420368
[arXiv]
[BibTeX]
- Eifler, L., Gleixner, A., and Pulaj, J. (2022). A Safe Computational Framework for Integer Programming Applied to Chvátal’s Conjecture. ACM Transactions on Mathematical Software, 48(2), 1–12.
DOI: 10.1145/3485630
[BibTeX]
- Gahururu, D., Hintermüller, M., Stengl, S.-M., and Surowiec, T. M. (2022). Generalized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk Aversion. In Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization (Vol. 172, pp. 145–181).
DOI: 10.1007/978-3-030-79393-7_7
[BibTeX]
- Hartzer, J., Röhrig, O., de Wolff, T., and Yürük, O. (2022). Initial Steps in the Classification of Maximal Mediated Sets. Journal of Symbolic Computation, 109, 404–425.
[arXiv]
[BibTeX]
- Hoppmann-Baum, K., Burdakov, O., Mexi, G., Casselgren, C. J., and Koch, T. (2022). Length-Constrained Cycle Partition with an Application to UAV Routing. Optimization Methods and Software.
DOI: 10.1080/10556788.2022.2053972
[BibTeX]
- Hunkenschröder, C., Pokutta, S., and Weismantel, R. (2022). Optimizing a Low-dimensional Convex Function Over a High-dimensional Cube. SIAM Journal on Optimization.
[arXiv]
[BibTeX]
- Iommazzo, G., D’Ambrosio, C., Frangioni, A., and Liberti, L. (2022). Algorithm Configuration Problem. In Encyclopedia of Optimization (pp. 1–8).
DOI: 10.1007/978-3-030-54621-2_749-1
[BibTeX]
- Kossen, T., Hirzel, M. A., Madai, V. I., Boenisch, F., Hennemuth, A., Hildebrand, K., Pokutta, S., Sharma, K., Hilbert, A., Sobesky, J., Galinovic, I., Khalil, A. A., Fiebach, J. B., and Frey, D. (2022). Towards Sharing Brain Images: Differentially Private TOF-MRA Images with Segmentation Labels Using Generative Adversarial Networks. Frontiers in Artificial Intelligence.
DOI: 10.3389/frai.2022.813842
[BibTeX]
- Nohadani, O., and Sharma, K. (2022). Optimization Under Connected Uncertainty. INFORMS Journal on Optimization.
DOI: 10.1287/ijoo.2021.0067
[BibTeX]
- Gebhard, O., Hahn-Klimroth, M., Penschuck, M., Rolvien, M., Scarlett, J., Tan, N., and Parczyk, O. (2022). Near Optimal Sparsity-constrained Group Testing: Improved Bounds. IEEE Transactions on Information Theory, 68(5), 3253–3280.
DOI: 10.1109/TIT.2022.3141244
[arXiv]
[BibTeX]
- Kerdreux, T., d’Aspremont, A., and Pokutta, S. (2022). Restarting Frank-Wolfe: Faster Rates under Hölderian Error Bounds. Journal of Optimization Theory and Applications, 192, 799–829.
[PDF]
[arXiv]
[summary]
[slides]
[BibTeX]
- Faenza, Y., Muñoz, G., and Pokutta, S. (2022). New Limits of Treewidth-based tractability in Optimization. Mathematical Programming A, 191, 559–594.
[PDF]
[arXiv]
[summary]
[BibTeX]
- Cao-Labora, G., Rué, J. J., and Spiegel, C. (2021-10). An Erdős-Fuchs Theorem for Ordered Representation Functions. Ramanujan Journal, 56, 183–2091.
DOI: 10.1007/s11139-020-00326-2
[URL]
[arXiv]
[BibTeX]
- Fabian, D., Rué, J. J., and Spiegel, C. (2021-08). On Strong Infinite Sidon and Bₕ Sets and Random Sets of Integers. Journal of Combinatorial Theory, Series A, 182.
DOI: 10.1016/j.jcta.2021.105460
[URL]
[arXiv]
[BibTeX]
- Combettes, C. W., and Pokutta, S. (2021). Complexity of Linear Minimization and Projection on Some Sets. Operations Research Letters, 49(4).
[arXiv]
[code]
[BibTeX]
- Kerdreux, T., Roux, C., d’Aspremont, A., and Pokutta, S. (2021). Linear Bandits on Uniformly Convex Sets. Journal of Machine Learning Research, 22(284), 1–23.
[URL]
[arXiv]
[summary]
[BibTeX]
- Nüske, F., Gelß, P., Klus, S., and Clementi, C. (2021). Tensor-based Computation of Metastable and Coherent Sets. Physica D: Nonlinear Phenomena, 427, 133018.
DOI: 10.1016/j.physd.2021.133018
[URL]
[arXiv]
[BibTeX]
- Gelß, P., Klus, S., Schuster, I., and Schütte, C. (2021). Feature Space Approximation for Kernel-based Supervised Learning. Knowledge-Based Systems, 221, 106935.
DOI: 10.1016/j.knosys.2021.106935
[URL]
[arXiv]
[BibTeX]
- Combettes, P. L., and Woodstock, Z. (2021). Reconstruction of Functions From Prescribed Proximal Points. Journal of Approximation Theory, 268(105606).
DOI: 10.1016/j.jat.2021.105606
[arXiv]
[BibTeX]
- Clemens, D., Hamann, F., Mogge, Y., and Parczyk, O. (2021). Maker-Breaker Games on Randomly Perturbed Graphs. SIAM Journal on Discrete Mathematics, 35(4), 2734–2748.
DOI: 10.1137/20M1385044
[arXiv]
[BibTeX]
- Han, J., Kohayakawa, Y., Letzter, S., Mota, G. O., and Parczyk, O. (2021). The Size-Ramsey Number of 3-uniform Tight Paths. Advances in Combinatorics, 5, 12pp.
DOI: 10.19086/aic.24581
[arXiv]
[BibTeX]
- Klus, S., Gelß, P., Nüske, F., and Noé, F. (2021). Symmetric and Antisymmetric Kernels for Machine Learning Problems in Quantum Physics and Chemistry. Machine Learning: Science and Technology, 2(4), 18958.
DOI: 10.1088/2632-2153/ac14ad
[URL]
[arXiv]
[BibTeX]
- Hahn-Klimroth, M., Maesaka, G. S., Mogge, Y., Mohr, S., and Parczyk, O. (2021). Random Perturbation of Sparse Graphs. The Electronic Journal of Combinatorics, 28(2), P2.26.
DOI: 10.37236/9510
[arXiv]
[BibTeX]
- Hintermüller, M., Stengl, S.-M., and Surowiec, T. (2021). Uncertainty Quantification in Image Segmentation Using the Ambrosio–Tortorelli Approximation of the Mumford–Shah Energy. Journal of Mathematical Imaging and Vision, 63(9), 1095–1117.
DOI: 10.1007/s10851-021-01034-2
[URL]
[BibTeX]
- Allen, P., Koch, C., Person, Y., and Parczyk, O. (2021). Finding Tight Hamilton Cycles in Random Hypergraphs Faster. Combinatorics, Probability and Computing, 30(2), 239–257.
DOI: 10.1017/S0963548320000450
[arXiv]
[BibTeX]
- Prause, F., Hoppmann-Baum, K., Defourny, B., and Koch, T. (2021). The Maximum Diversity Assortment Selection Problem. Mathematical Methods of Operations Research, 93.
DOI: 10.1007/s00186-021-00740-2
[BibTeX]
- Ramin, E., Bestuzheva, K., Gargalo, C., Ramin, D., Schneider, C., Ramin, P., Flores-Alsina, X., Andersen, M., and Gernaey, K. (2021). Incremental Design of Water Symbiosis Networks with Prior Knowledge: the Case of an Industrial Park in Kenya. Science of the Total Environment, 751.
DOI: 10.1016/j.scitotenv.2020.141706
[BibTeX]
- Berger, S., Kohayakawa, Y., Maesaka, G. S., Martins, T., Mendonça, W., Mota, G. O., and Parczyk, O. (2021). The Size-Ramsey Number of Powers of Bounded Degree Trees. Journal of the London Mathematical Society, 103(4), 1314–1332.
DOI: 10.1112/jlms.12408
[arXiv]
[BibTeX]
- Ziemke, T., Sering, L., Vargas Koch, L., Zimmer, M., Nagel, K., and Skutella, M. (2021). Flows Over Time As Continuous Limits of Packet-based Network Simulations. Transportation Research Procedia, 52, 123–130.
DOI: 10.1016/j.trpro.2021.01.014
[URL]
[BibTeX]
- Anari, N., Haghtalab, N., Naor, S., Pokutta, S., Singh, M., and Torrico, A. (2021). Structured Robust Submodular Maximization: Offline and Online Algorithms. INFORMS Journal on Computing, 33(4), 1259–1684.
[PDF]
[arXiv]
[BibTeX]
- Corsten, J., Mond, A., Pokrovskiy, A., Spiegel, C., and Szabó, T. (2020-10). On the Odd Cycle Game and Connected Rules. European Journal of Combinatorics, 89.
DOI: 10.1016/j.ejc.2020.103140
[URL]
[arXiv]
[BibTeX]
- Rué, J. J., and Spiegel, C. (2020). On a Problem of Sárközy and Sós for Multivariate Linear Forms. Revista Matemática Iberoamericana, 36(7), 2107–2119.
DOI: 10.4171/RMI/1193
[URL]
[arXiv]
[BibTeX]
- Böttcher, J., Montgomery, R., Parczyk, O., and Person, Y. (2020). Embedding Spanning Bounded Degree Graphs in Randomly Perturbed Graphs. Mathematika, 66(2), 422–447.
DOI: 10.1112/mtk.12005
[URL]
[arXiv]
[BibTeX]
- Candela, P., Serra, O., and Spiegel, C. (2020). A Step Beyond Freĭman’s Theorem for Set Addition Modulo a Prime. Journal De Théorie Des Nombres De Bordeaux, 32(1), 275–289.
DOI: 10.5802/jtnb.1122
[URL]
[arXiv]
[BibTeX]
- Parczyk, O., Elizer, O. B., Hefetz, D., Kronenberg, G., Shikelman, C., and Stojaković, M. (2020). Semi-random Graph Process. Random Structures & Algorithms, 56(3), 648–675.
DOI: 10.1002/rsa.20887
[arXiv]
[BibTeX]
- Parczyk, O. (2020). 2-universality in Randomly Perturbed Graphs. European Journal of Combinatorics, 87, 103–118.
DOI: 10.1016/j.ejc.2020.103118
[arXiv]
[BibTeX]
- Kusch, C., Rué, J. J., Spiegel, C., and Szabó, T. (2019-09). On the Optimality of the Uniform Random Strategy. Random Structures & Algorithms, 55(2), 371–401.
DOI: 10.1002/rsa.20829
[URL]
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Zink, D. (2019). Affine Reductions for LPs and SDPs. Mathematical Programming, 173, 281–312.
DOI: 10.1007/s10107-017-1221-9
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Zink, D. (2019). Lazifying Conditional Gradient Algorithms. The Journal of Machine Learning Research, 20(71), 1–42.
[URL]
[arXiv]
[BibTeX]
- Freĭman, G. A., Serra, O., and Spiegel, C. (2019). Additive Volume of Sets Contained in Few Arithmetic Progressions. INTEGERS, 19.
[URL]
[arXiv]
[BibTeX]
- Gelß, P., Klus, S., Eisert, J., and Schütte, C. (2019). Multidimensional Approximation of Nonlinear Dynamical Systems. Journal of Computational and Nonlinear Dynamics, 14(6), 25094.
DOI: 10.1115/1.4043148
[URL]
[arXiv]
[BibTeX]
- Böttcher, J., Montgomery, R., Person, Y., Parczyk, O., Han, J., and Kohayakawa, Y. (2019). Universality of Bounded Degree Spanning Trees in Randomly Perturbed Graphs. Random Structures & Algorithms, 55(4), 854–864.
DOI: 10.1002/rsa.20850
[arXiv]
[BibTeX]
- Klus, S., and Gelß, P. (2019). Tensor-based Algorithms for Image Classification. Algorithms, 12(11), 240.
DOI: 10.3390/a12110240
[URL]
[arXiv]
[BibTeX]
- Bazzi, A., Fiorini, S., Pokutta, S., and Svensson, O. (2019). Small linear programs cannot approximate Vertex
volume = 44,
Issue = 1,
pages = 1–375,
Cover within a factor of 2 - ε. To Appear in Mathematics of Operations Research.
[arXiv]
[slides]
[BibTeX]
- Braun, G., Pokutta, S., and Roy, A. (2018). Strong Reductions for Extended Formulations. Mathematical Programming, 172, 591–620.
DOI: 10.1007/s10107-018-1316-y
[arXiv]
[BibTeX]
- Rué, J. J., Spiegel, C., and Zumalacárregui, A. (2018). Threshold Functions and Poisson Convergence for Systems of Equations in Random Sets. Mathematische Zeitschrift, 288, 333–360.
DOI: 10.1007/s00209-017-1891-2
[URL]
[arXiv]
[BibTeX]
- Song, R., Xie, Y., and Pokutta, S. (2018). On the effect of model mismatch for sequential Info-Greedy Sensing. EURASIP Journal on Advances in Signal Processing.
[PDF]
[BibTeX]
- Le Bodic, P., Pfetsch, M., Pavelka, J., and Pokutta, S. (2018). Solving MIPs via Scaling-based Augmentation. Discrete Optimization, 27, 1–25.
[PDF]
[arXiv]
[BibTeX]
- Christensen, H., Khan, A., Pokutta, S., and Tetali, P. (2017+). Multidimensional Bin Packing and Other Related Problems: A survey. To Appear in Computer Science Review.
[URL]
[BibTeX]
- Knueven, B., Ostrowski, J., and Pokutta, S. (2017+). Detecting Almost Symmetries in Graphs. To Appear in Mathematical Programming C.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., Brown-Cohen, J., Huq, A., Pokutta, S., Raghavendra, P., Roy, A., Weitz, B., and Zink, D. (2017). The Matching Problem Has No Small Symmetric SDP. Mathematical Programming, 165, 643–662.
DOI: 10.1007/s10107-016-1098-z
[arXiv]
[BibTeX]
- Braun, G., Guzmán, C., and Pokutta, S. (2017). Unifying Lower Bounds on the Oracle Complexity of Nonsmooth Convex Optimization. IEEE Transactions on Information Theory, 63(7), 4709–4724.
DOI: 10.1109/TIT.2017.2701343
[arXiv]
[BibTeX]
- Gelß, P., Klus, S., Matera, S., and Schütte, C. (2017). Nearest-neighbor Interaction Systems in the Tensor-train Format. Journal of Computational Physics, 341, 140–162.
DOI: 10.1016/j.jcp.2017.04.007
[URL]
[arXiv]
[BibTeX]
- Klus, S., Gelß, P., Peitz, S., and Schütte, C. (2017). Tensor-based Dynamic Mode Decomposition. Nonlinearity, 31(7), 3359.
DOI: 10.1088/1361-6544/aabc8f
[URL]
[arXiv]
[BibTeX]
- Braun, G., Jain, R., Lee, T., and Pokutta, S. (2017). Information-theoretic Approximations of the Nonnegative Rank. Computational Complexity, 26, 147–197.
DOI: 10.1007/s00037-016-0125-z
[URL]
[BibTeX]
- Lienkaemper, C., Shiu, A., and Woodstock, Z. (2017). Obstructions to Convexity in Neural Codes. Advances in Applied Mathematics, 85, 31–59.
DOI: 10.1016/j.aam.2016.11.006
[arXiv]
[BibTeX]
- Spiegel, C. (2017). A Note on Sparse Supersaturation and Extremal Results for Linear Homogeneous Systems. Electronic Journal of Combinatorics, 24(3).
DOI: 10.37236/6730
[URL]
[arXiv]
[BibTeX]
- Roy, A., and Pokutta, S. (2017). Hierarchical Clustering via Spreading Metrics. Journal of Machine Learning Research (JMLR), 18, 1–35.
[URL]
[arXiv]
[BibTeX]
- Bodur, M., Del Pia, A., Dey, S. S., Molinaro, M., and Pokutta, S. (2017). Aggregation-based cutting-planes for packing and covering Integer Programs. To Appear in Mathematical Programming A.
DOI: 10.1007/s10107-017-1192-x
[arXiv]
[BibTeX]
- Martin, A., Müller, J., Pape, S., Peter, A., Pokutta, S., and Winter, T. (2017). Pricing and clearing combinatorial markets with singleton and swap orders. Mathematical Methods of Operations Research, 85(2), 155–177.
[arXiv]
[BibTeX]
- Gatzert, N., Pokutta, S., and Vogl, N. (2016+). Convergence of Capital and Insurance Markets: Pricing Aspects of Index-Linked Catastrophic Loss Instruments. To Appear in Journal of Risk and Insurance.
[arXiv]
[BibTeX]
- Braun, G., Firorini, S., and Pokutta, S. (2016). Average Case Polyhedral Complexity of the Maximum Stable Set Problem. Mathematical Programming, 160(1), 407–431.
DOI: 10.1007/s10107-016-0989-3
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2016). Common Information and Unique Disjointness. Algorithmica, 76(3), 597–629.
DOI: 10.1007/s00453-016-0132-0
[URL]
[BibTeX]
- Braun, G., and Pokutta, S. (2016). A Polyhedral Characterization of Border Bases. SIAM Journal on Discrete Mathematics, 30(1), 239–265.
DOI: 10.1137/140977990
[arXiv]
[BibTeX]
- Braun, G., and Strüngmann, L. (2016). Examples of Non-dual Subgroups of the Baer–Specker Group. Houston Journal of Mathematics, 42(3), 723–739.
[BibTeX]
- Félix, B., Shiu, A., and Woodstock, Z. (2016). Analyzing Multistationarity in Chemical Reaction Networks Using the Determinant Optimization Method. Applied Mathematics and Computation, 287–288, 60–73.
DOI: 10.1016/j.amc.2016.04.030
[arXiv]
[BibTeX]
- Gelß, P., Matera, S., and Schütte, C. (2016). Solving the Master Equation without Kinetic Monte Carlo - Tensor Train Approximations for a CO Oxidation Model. Journal of Computational Physics, 314, 489–502.
DOI: 10.1016/j.jcp.2016.03.025
[URL]
[BibTeX]
- Mossner, M., Jann, J.-C., Wittig, J., Nolte, F., Fey, S., Nowak, V., Obländer, J., Pressler, J., Palme, I., Xanthopoulos, C., Boch, T., Metzgeroth, G., Röhl, H., Witt, S. H., Dukal, H., Klein, C., Schmitt, S., Gelß, P., Platzbecker, U., … Nowak, D. (2016). Mutational Hierarchies in Myelodysplastic Syndromes Dynamically Adapt and Evolve Upon Therapy Response and Failure. Blood, 128(9), 1246–1259.
DOI: 10.1182/blood-2015-11-679167
[URL]
[BibTeX]
- Person, Y., and Parczyk, O. (2016). Spanning Structures and Universality in Sparse Hypergraphs. Random Structures & Algorithms, 49(4), 819–844.
DOI: 10.1002/rsa.20690
[arXiv]
[BibTeX]
- Hetterich, S., Person, Y., and Parczyk, O. (2016). On Universal Hypergraphs. The Electronic Journal of Combinatorics, 23(4), P4.28.
DOI: 10.37236/5562
[arXiv]
[BibTeX]
- Bärmann, A., Heidt, A., Martin, A., Pokutta, S., and Thurner, C. (2016). Polyhedral Approximation of Ellipsoidal Uncertainty Sets via Extended Formulations - a computational case study. Computational Management Science, 13(2), 151–193.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., Firorini, S., Pokutta, S., and Steurer, D. (2015). Approximation Limits of Linear Programs (beyond Hierarchies). Mathematics of Operations Research, 40(3), 756–772.
DOI: 10.1287/moor.2014.0694
[arXiv]
[BibTeX]
- Braun, G., Pokutta, S., and Xie, Y. (2015). Info-greedy Sequential Adaptive Compressed Sensing. IEEE Journal of Selected Topics in Signal Processing, 9(4), 601–611.
DOI: 10.1109/JSTSP.2015.2400428
[arXiv]
[BibTeX]
- Braun, G., and Strüngmann, L. (2015). The Independence of the Notions of Hopfian and Co-Hopfian Abelian P-groups. Proeedings of the American Mathematical Society, 143, 3331–3341.
DOI: 10.1090/proc/12413
[BibTeX]
- Briët, J., Dadush, D., and Pokutta, S. (2015). On the existence of 0/1 polytopes with high semidefinite extension complexity. Mathematical Programming B, 153(1), 179–199.
[arXiv]
[BibTeX]
- Fiorini, S., Massar, S., Pokutta, S., Tiwary, H. R., and de Wolf, R. (2015). Exponential Lower Bounds for Polytopes in Combinatorial Optimization. Journal of the ACM, 62(2), 1–17.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., and Pokutta, S. (2014). A Short Proof for the Polyhedrality of the Chvátal-Gomory Closure of a Compact Convex Set. Operations Research Letters, 42(5), 307–310.
DOI: 10.1016/j.orl.2014.05.004
[arXiv]
[BibTeX]
- Lubert, C. P., and Woodstock, Z. (2014). Architectural Acoustical Oddities. The Journal of the Acoustical Society of America, 136(2126).
DOI: 10.1121/1.4899659
[BibTeX]
- Dey, S. S., and Pokutta, S. (2014). Design and verify: a new scheme for generating cutting-planes. Mathematical Programming A, 145, 199–222.
[arXiv]
[BibTeX]
- Drewes, S., and Pokutta, S. (2014). Symmetry-exploiting cuts for a class of mixed-0/1 second order cone programs. Discrete Optimization, 13, 23–35.
[arXiv]
[BibTeX]
- Drewes, S., and Pokutta, S. (2014). Computing discrete expected utility maximizing portfolios. Journal of Investing, 23(4), 121–132.
[arXiv]
[BibTeX]
- Martin, A., Müller, J., and Pokutta, S. (2014). Strict linear prices in non-convex European day-ahead electricity markets. Optimization Methods and Software, 29(1), 189–221.
[PDF]
[arXiv]
[BibTeX]
- Schmaltz, C., Pokutta, S., Heidorn, T., and Andrae, S. (2014). How to make regulators and shareholders happy under Basel III. Journal of Banking and Finance, 311–325.
[PDF]
[arXiv]
[BibTeX]
- Kroll, C., and Pokutta, S. (2013). Just a perfect day: developing a happiness optimised day schedule. Journal of Economic Psychology, 34, 210–217.
[PDF]
[video]
[BibTeX]
- Pokutta, S., and Van Vyve, M. (2013). A note on the extension complexity of the knapsack polytope. Operations Research Letters, 41, 347–350.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., and Göbel, R. (2012). Splitting Kernels Into Small Summands. Israel Journal of Mathematics, 188, 221–230.
DOI: 10.1007/s11856-011-0121-6
[BibTeX]
- Braun, G., and Pokutta, S. (2012). Rigid Abelian Groups and the Probabilistic Method. Contemporary Mathematcs, 576, 17–30.
DOI: 10.1090/conm/576
[arXiv]
[BibTeX]
- Göbel, R., and Pokutta, S. (2012). Absolutely rigid fields and Shelah’s absolutely rigid trees. Contemporary Mathematics, 576, 105–128.
[PDF]
[arXiv]
[BibTeX]
- Pokutta, S., and Schmaltz, C. (2012). Optimal Planning under Basel III Regulations. Cass-Capco Institute Paper Series on Risk, 34.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., and Trlifaj, J. (2011). Strong Submodules of Almost Projective Modules. Pacific Journal of Mathematics, 254(1), 73–87.
[BibTeX]
- Braun, G., and Pokutta, S. (2011). Random Half-integral Polytopes. Operations Research Letters, 39(3), 204–207.
DOI: 10.1016/j.orl.2011.03.003
[URL]
[BibTeX]
- Braun, G., and Strüngmann, L. (2011). Breaking Up Finite Automata Presentable Torsion-free Abelian Groups. International Journal of Algebra and Computation, 21, 1463–1472.
DOI: 10.1142/S0218196711006625
[BibTeX]
- Haus, U. U., Hemmecke, R., and Pokutta, S. (2011). Reconstructing biochemical cluster networks. Journal of Mathematical Chemistry, 49(10), 2441–2456.
[PDF]
[arXiv]
[BibTeX]
- Letchford, A. N., Pokutta, S., and Schulz, A. S. (2011). On the membership problem for the 0,1/2-closure. Operations Research Letters, 39(5), 301–304.
[PDF]
[arXiv]
[BibTeX]
- Pokutta, S., and Schmaltz, C. (2011). Managing liquidity: Optimal degree of centralization. Journal of Banking and Finance, 35, 627–638.
DOI: DOI: 10.1016/j.jbankfin.2010.07.001
[PDF]
[arXiv]
[BibTeX]
- Pokutta, S., and Schulz, A. S. (2011). Integer-empty polytopes in the 0/1-cube with maximal Gomory-Chvátal rank. Operations Research Letters, 39(6), 457–460.
[PDF]
[arXiv]
[BibTeX]
- Pokutta, S., and Stauffer, G. (2011). Lower bounds for the Chvátal-Gomory rank in the 0/1 cube. Operations Research Letters, 39(3), 200–203.
[PDF]
[arXiv]
[BibTeX]
- Braun, G., and Némethi, A. (2010). Surgery Formulas for Seiberg–Witten Invariants of Negative Definite Plumbed 3-manifolds. Journal Für Die Reine Und Angewandte Mathematik, 638, 189–208.
DOI: 10.1515/CRELLE.2010.007
[arXiv]
[BibTeX]
- Heldt, D., Kreuzer, M., Pokutta, S., and Poulisse, H. (2009). Approximate Computation of zero-dimensional polynomial ideals. Journal of Symbolic Computation, 44, 1566–1591.
[PDF]
[BibTeX]
- Pokutta, S., and Stauffer, G. (2009). France Telecom Workforce Scheduling Problem: a challenge. RAIRO-Operations Research, 43, 375–386.
[PDF]
[BibTeX]
- Braun, G. (2008). The Cobordism Class of the Multiple Points of Immersions. Algebraic & Geometric Topology, 8, 581–601.
DOI: 10.2140/agt.2008.8.581
[URL]
[arXiv]
[BibTeX]
- Droste, M., Göbel, R., and Pokutta, S. (2008). Absolute graphs with prescribed endomorphism monoid. Semigroup Forum, 76, 256–267.
[PDF]
[BibTeX]
- Göbel, R., and Pokutta, S. (2008). Construction of dual modules using Martin’s axiom. Journal of Algebra, 320, 2388–2404.
[PDF]
[BibTeX]
- Braun, G., and Némethi, A. (2007). Invariants of Newton Non-degenerate Surface Singularities. Compositio Mathematica, 143, 1003–1036.
[URL]
[arXiv]
[BibTeX]
- Pokutta, S., and Strüngmann, L. (2007). The Chase radical and reduced products. Journal of Pure and Applied Algebra, 211, 532–540.
[PDF]
[BibTeX]
- Braun, G., and Lippner, G. (2006). Characteristic Numbers of Multiple-point Manifolds. Bulletin of the London Mathematical Society, 38, 667–678.
DOI: 10.1112/S0024609306018571
[BibTeX]
- Blass, A., and Braun, G. (2005). Random Orders and Gambler’s Ruin. Electronic Journal of Combinatorics, 12(1), R23.
[URL]
[BibTeX]
- Braun, G., and Göbel, R. (2005). E-algebras Whose Torsion Part Is Not Cyclic. Proceedings of the American Mathematical Society, 133(8), 2251–2258 (electronic).
[URL]
[BibTeX]
- Braun, G. (2005). Characterization of Matrix Types of Ultramatricial Algebras. New York Journal of Mathematics, 11, 21–33.
[URL]
[BibTeX]
- Braun, G. (2004). A Proof of Higgins’s Conjecture. Bulletin of the Australian Mathematical Society, 70(2), 207–212.
[arXiv]
[BibTeX]
- Braun, G., and Göbel, R. (2003). Automorphism Groups of Nilpotent Groups. Archiv Der Mathematik, 80(5), 464–474.
DOI: 10.1007/s00013-003-0802-4
[BibTeX]
- Braun, G., and Göbel, R. (2003). Outer Automorphisms of Locally Finite P-groups. Journal of Algebra, 264(1), 55–67.
[BibTeX]