| Tight risk bounds for multi-class margin classifiers Y Maximov, D Reshetova Pattern Recognition and Image Analysis 26, 673-680, 2016 | 19 | 2016 |
| Understanding entropic regularization in gans D Reshetova, Y Bai, X Wu, A Özgür 2021 IEEE International Symposium on Information Theory (ISIT), 825-830, 2021 | 10 | 2021 |
| SeMAnD: Self-supervised anomaly detection in multimodal geospatial datasets D Reshetova, S Ganguli, CVK Iyer, V Pandey Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 1 | 2023 |
| Training generative models from privatized data D Reshetova, WN Chen, A Özgür arXiv preprint arXiv:2306.09547, 2023 | 1 | 2023 |
| Training Generative Models From Privatized Data via Entropic Optimal Transport D Reshetova, WN Chen, A Özgür IEEE Journal on Selected Areas in Information Theory, 2024 | | 2024 |
| ParGANDA: Making Synthetic Pedestrians A Reality For Object Detection D Reshetova, G Wu, M Puyat, C Gu, H Chen arXiv preprint arXiv:2307.11360, 2023 | | 2023 |
| Local Differential Privacy with Entropic Wasserstein Distance D Reshetova, WN Chen, A Ozgur | | 2023 |
| Entropic Regularization in Wasserstein Gans: Robustness, Generalization and Privacy D Reshetova Stanford University, 2023 | | 2023 |
| Multi-class classification: mirror descent approach D Reshetova arXiv preprint arXiv:1607.00076, 2016 | | 2016 |
| Multi-class classification via proximal mirror descent D Reshetova | | |
