My Publications
You can also find all my publications on Google Scholar.
Preprints
Scenario Reduction for Distributionally Robust Optimization (2025)
Kevin-Martin Aigner, Sebastian Denzler, Frauke Liers, Sebastian Pokutta, Kartikey Sharma
[BibTeX] [PDF]@article{aigner2025srdro, title={Scenario Reduction for Distributionally Robust Optimization}, author={Aigner, Kevin-Martin and Denzler, Sebastian and Liers, Frauke and Pokutta, Sebastian and Sharma, Kartikey}, journal={arXiv preprint arXiv:2503.11484}, year={2025} }
Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions (2023)
Adrian Goess, Alexander Martin, Sebastian Pokutta, Kartikey Sharma
[BibTeX] [PDF]@article{goess2023nic, title={Norm-induced Cuts: Optimization with Lipschitzian Black-box Functions}, author={Goess, Adrian and Martin, Alexander and Pokutta, Sebastian and Sharma, Kartikey}}
Feature-Based Interpretable Surrogates for Optimization (2024)
Marc Goerigk, Michael Hartisch, Sebastian Merten, Kartikey Sharma
[BibTeX] [PDF]@article{goerigk2024fiso, title={Feature-Based Interpretable Surrogates for Optimization}, author={Goerigk, Marc and Hartisch, Michael and Merten, Sebastian and Sharma, Kartikey}}
Journal and Conference Publications
Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe (2024)
Kartikey Sharma, Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta
Proceedings of INFORMS Optimization Society Conference., [Link]
[BibTeX] [PDF]@article{sharma2024netdesign, title={Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe}, author={Sharma, Kartikey and Hendrych, Deborah and Besançon, Mathieu and Pokutta, Sebastian} year={2024}}
Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study (2023)
Jacqueline M Kruser, Kartikey Sharma, Jane L Holl, Omid Nohadani
Critical Care Explorations, [Link]
[BibTeX] [PDF]@article{kruser2023identifying, title={Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study}, author={Kruser, Jacqueline M and Sharma, Kartikey and Holl, Jane L and Nohadani, Omid}, journal={Critical Care Explorations}, volume={5}, number={10}, pages={e0984}, year={2023}, publisher={LWW}}
Data-driven Distributionally Robust Optimization over Time (2023)
Kevin-Martin Aigner, Andreas Bärmann, Kristin Braun, Frauke Liers, Sebastian Pokutta, Oskar Schneider, Kartikey Sharma, Sebastian Tschuppik
INFORMS Journal on Optimization, [Link]
[BibTeX] [PDF]@article{aigner2022distributionally, title={Data-driven distributionally robust optimization over time}, author={Aigner, Kevin-Martin and B{\"a}rmann, Andreas and Braun, Kristin and Liers, Frauke and Pokutta, Sebastian and Schneider, Oskar and Sharma, Kartikey and Tschuppik, Sebastian}, journal={INFORMS Journal on Optimization}, volume={5}, number={4}, pages={376--394}, year={2023}, publisher={INFORMS}}
Interpretability Guarantees with Merlin-Arthur Classifiers (2024)
Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Berkant Turan, Sebastian Pokutta
Proceedings of International Conference on Artificial Intelligence and Statistics., [Link]
[BibTeX] [PDF]@InProceedings{waldchen2024merlin, title = {Interpretability Guarantees with {M}erlin-{A}rthur Classifiers}, author = {W\"{a}ldchen, Stephan and Sharma, Kartikey and Turan, Berkant and Zimmer, Max and Pokutta, Sebastian}, booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics}, pages = {1963--1971}, year = {2024}, volume = {238}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}}
Optimization under Connected Uncertainty (2022)
Omid Nohadani, Kartikey Sharma
INFORMS Journal on Optimization, [Link]
[BibTeX] [PDF]@article{nohadani2022optimization, title={Optimization under connected uncertainty}, author={Nohadani, Omid and Sharma, Kartikey}, journal={INFORMS Journal on Optimization}, volume={4}, number={3}, pages={326--346}, year={2022}, publisher={INFORMS}}
Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks (2022)
Tabea Kossen, Manuel A Hirzel, Vince I Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A Khalil, Jochen B Fiebach, and Dietmar Frey
Frontiers in Artificial Intelligence, [Link]
[BibTeX] [PDF]@article{kossen2022toward, title={Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks}, 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 others}, journal={Frontiers in Artificial Intelligence}, volume={5}, year={2022}, publisher={Frontiers Media SA}}
Optimization under Decision Dependent Uncertainty (2018)
Omid Nohadani, Kartikey Sharma
SIAM Journal on Optimization, [Link]
[BibTeX] [PDF]@article{nohadani2018optimization, title={Optimization under decision-dependent uncertainty}, author={Nohadani, Omid and Sharma, Kartikey}, journal={SIAM Journal on Optimization}, volume={28}, number={2}, pages={1773--1795}, year={2018}, publisher={SIAM}}
Detecting earnings management in India: A sector-wise study (2014)
Raghuveer Kaur, Kartikey Sharma, and Ashu Khanna
European Journal of Business and Management, [Link]
[BibTeX] [PDF]@article{kaur2014detecting, title={Detecting earnings management in India: A sector-wise study}, author={Kaur, Raghuveer and Sharma, Kartikey and Khanna, Ashu}, journal={European Journal of Business and Management}, volume={6}, number={11}, pages={11--18}, year={2014}}
Books and Edited Volumes
Mathematical Optimization for Machine Learning. (2025)
Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter, Andrea Walther, Martin Weiser
Proceedings of the MATH+ Thematic Einstein Semester 2023, [Link]
[BibTeX] [PDF]@book{fackeldey2025moml, title = {Mathematical Optimization for Machine Learning}, title = {Proceedings of the MATH+ Thematic Einstein Semester 2023}, editor = {Konstantin Fackeldey and Aswin Kannan and Sebastian Pokutta and Kartikey Sharma and Daniel Walter and Andrea Walther and Martin Weiser}, publisher = {De Gruyter}, isbn = {9783111376776}, year = {2025} }