Kartikey Sharma
I am interested in the theory and applications of robust optimization. More recently, I have also developed in interest in machine learning especially its theoretical aspects and how it can be used for scaling optimization algorithms.
📬 Contact
- kartikey.sharma (at) zib.de
- homepage
- kartikeyrinwa.github.io
- languages
- Hindi and English
🎓 Curriculum vitae
- since 2020
- Researcher at ZIB
- Feb 2020
- Ph.D. in Industrial Engineering at Northwestern
- Jul 2015
- M.Sc. in Industrial Engineering at Northwestern
- May 2014
- B.Tech. in Process Engineering at IITR
📝 Publications and preprints
Preprints
- Göß, A., Martin, A., Pokutta, S., and Sharma, K. (2024). Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions.
[URL]
[arXiv]
[BibTeX]
- Goerigk, M., Hartisch, M., Merten, S., and Sharma, K. (2024). Feature-Based Interpretable Optimization.
[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]
- 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]
Full articles
- 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]
- 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]
- 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]
🔬 Projects
In this project, we study domain decomposition approaches for optimal control in gas transport networks. Our goal is to couple space-time-domain decomposition with machine learning and mixed-integer programming. We will develop NeTI (Network Tearing and Interconnection), a data-driven and physics-informed algorithm combining mixed-integer nonlinear programming, surrogate model learning, and graph decomposition strategies.
Existing approaches for interpreting Neural Network classifiers that highlight features relevant for a decision are based solely on heuristics. We introduce a theory that allows us to bound the quality of the features without assumptions on the classifier model by relating classification to Interactive Proof Systems.
💬 Talks and posters
Conference and workshop talks
- Mar 2024
- Traffic Assignment and Network Design
ios Conference, Houston, TX [PDF] - Oct 2023
- Data-driven Distributionally Robust Optimization Over Time
INFORMS Conference, Phoenix [PDF] - Aug 2023
- Traffic Assignment and Network Design
OR Conference, Hamburg [PDF] - Mar 2023
- Traffic Assignment and Network Design
Optimization and ML Workshop, Waischenfeld - Oct 2022
- Fast Robust Classifiers for Data Streams
INFORMS Conference, Indianapolis [PDF]
View More / Less
- Sep 2022
- Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes
DMV Annual Meeting, Berlin [PDF] - Jul 2022
- Distributionally Robust Optimization Over Time
7th ICCOPT Conference, Bethlehem [PDF] - Jun 2022
- Dynamic Capacity Management for Deferred Surgeries
MSOM Conference, Munich [PDF] - Oct 2021
- Dynamic Capacity Management for Deferred Surgeries
INFORMS Conference, Online [PDF] - Oct 2019
- Decision Dependent Uncertainty with Uncertain Reduction
INFORMS Conference, Seattle [PDF] - Nov 2018
- Optimization Under Connected Uncertainty
INFORMS Conference, Phoenix [PDF] - Jul 2018
- Optimization Under Decision Dependent Uncertainty
23rd ISMP Conference, Bordeaux [PDF] - Oct 2017
- Optimization Under Connected Uncertainty
INFORMS Technical, Houston [PDF] - Jul 2017
- Optimization Under Decision Dependent Uncertainty
IFORS, Québec City, Canada [PDF] - May 2017
- Optimization Under Decision Dependent Uncertainty
NEMFEST, Atlanta, USA [PDF] - Nov 2016
- Optimization Under Decision Dependent Uncertainty
INFORMS Conference, Nashville [PDF]
Research seminar talks
- Jul 2023
- Data-driven Distributionally Robust Optimization Over Time
, Passau [PDF] - Dec 2022
- Dynamic Capacity Management for Deferred Surgeries
MATH+ Spotlight Seminar, Berlin [PDF]
👨🏫Teaching
- summer 2024
- Lecturer for
Optimization under Uncertainty at TUB
📝 Organization and outreach
- 2023
- Member of the organizing committee of the MATH+ Thematic Einstein Semester in Berlin
- 2024
- Member of the organizing committee of the BMS-BGSMath Junior Meeting in Berlin
- 2024
- Presenting GPT enabled interactive robot at LNdW at ZIB