Kartikey Sharma

postdoctoral researcher at ZIB since September 2020

📬 Contact

office Room 3027 at ZIB
e-mail kartikey.sharma (at) zib.de
homepage kartikeyrinwa.github.io
languages Hindi and English

🎓 Academic Background

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

🔬 Research

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.

Preprints

  1. Wäldchen, S., Sharma, K., Zimmer, M., Turan, B., and Pokutta, S. (2022). Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. [arXiv]
    [BibTeX]
    @misc{wszp_merlinarthur_22,
      archiveprefix = {arXiv},
      eprint = {2206.00759},
      primaryclass = {cs.LG},
      year = {2022},
      author = {Wäldchen, Stephan and Sharma, Kartikey and Zimmer, Max and Turan, Berkant and Pokutta, Sebastian},
      title = {Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes}
    }
  2. Wäldchen, S., Sharma, K., Zimmer, M., Turan, B., and Pokutta, S. (2022). Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. [arXiv]
    [BibTeX]
    @misc{wsztp_merlinarthur_22,
      archiveprefix = {arXiv},
      eprint = {2206.00759},
      primaryclass = {cs.LG},
      year = {2022},
      author = {Wäldchen, Stephan and Sharma, Kartikey and Zimmer, Max and Turan, Berkant and Pokutta, Sebastian},
      title = {Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes}
    }
  3. Goess, A., Martin, A., Pokutta, S., and Sharma, K. Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions. [URL]
    [BibTeX]
    @misc{gmps_nic_23,
      url = {https://opus4.kobv.de/opus4-trr154/files/518/nic_preprint.pdf},
      author = {Goess, Adrian and Martin, Alexander and Pokutta, Sebastian and Sharma, Kartikey},
      title = {Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions}
    }

Full articles

  1. 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]
    @article{abblpsst_distributionally_ro_23,
      year = {2023},
      journal = {INFORMS Journal on Optimization},
      archiveprefix = {arXiv},
      eprint = {2304.05377},
      primaryclass = {math.OC},
      author = {Kevin-Martin, Aigner and Bärmann, Andreas and Braun, Kristin and Liers, Frauke and Pokutta, Sebastian and Schneider, Oskar and Sharma, Kartikey and Tschuppik, Sebastian},
      title = {Data-driven Distributionally Robust Optimization Over Time}
    }
  2. 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]
    @article{kshn_identifying_23,
      year = {2023},
      journal = {Critical Care Explorations},
      author = {Kruser, Jacqueline and Sharma, Kartikey and Holl, Jane and Nohadani, Omid},
      title = {Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study}
    }
  3. 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]
    @article{khmbhhpshsgkff_22,
      year = {2022},
      journal = {Frontiers in Artificial Intelligence},
      doi = {10.3389/frai.2022.813842},
      author = {Kossen, Tabea and Hirzel, Manuel A. and Madai, Vince I. and Boenisch, Franziska and Hennemuth, Anja and Hildebrand, Kristian and Pokutta, Sebastian and Sharma, Kartikey and Hilbert, Adam and Sobesky, Jan and Galinovic, Ivana and Khalil, Ahmed A. and Fiebach, Jochen B. and Frey, Dietmar},
      title = {Towards Sharing Brain Images: Differentially Private TOF-MRA Images with Segmentation Labels Using Generative Adversarial Networks}
    }
  4. Nohadani, O., and Sharma, K. (2022). Optimization Under Connected Uncertainty. INFORMS Journal on Optimization. DOI: 10.1287/ijoo.2021.0067
    [BibTeX]
    @article{nk_connected_un_22,
      year = {2022},
      journal = {INFORMS Journal on Optimization},
      doi = {10.1287/ijoo.2021.0067},
      author = {Nohadani, Omid and Sharma, Kartikey},
      title = {Optimization Under Connected Uncertainty}
    }

💬 Talks and posters

Conference and workshop talks

Mar 2023
Workshop on Optimization and Machine Learning, Waischenfeld
Dec 2022
MATH+ Spotlight Talk, Berlin [PDF]
Oct 2022
INFORMS Annual Meeting, Online [PDF]
Sep 2022
DMV Annual Meeting, Berlin [PDF]
Jul 2022
ICCOPT, Bethlehem, USA [PDF]
View More / Less
Jun 2022
SIG Presentation, MSOM, Munich [PDF]
Oct 2021
INFORMS Annual Meeting, Online [PDF]
Oct 2019
INFORMS Annual Meeting, Seattle [PDF]
Nov 2018
INFORMS Annual Meeting, Phoenix [PDF]
Jul 2018
ISMP, Bordeaux [PDF]
Oct 2017
INFORMS Annual Meeting, Houston [PDF]
Jul 2017
IFORS, Québec City, Canada [PDF]
May 2017
NEMFEST, Atlanta, USA [PDF]
Nov 2016
INFORMS Annual Meeting, Nashville [PDF]

📝 Organization

2023
Member of the organising committee of the MATH+ Thematic Einstein Semester in Berlin