| The limits of min-max optimization algorithms: Convergence to spurious non-critical sets YP Hsieh, P Mertikopoulos, V Cevher International Conference on Machine Learning, 4337-4348, 2021 | 85 | 2021 |
| Mirrored langevin dynamics YP Hsieh, A Kavis, P Rolland, V Cevher Advances in Neural Information Processing Systems 31, 2018 | 85 | 2018 |
| Finding mixed nash equilibria of generative adversarial networks YP Hsieh, C Liu, V Cevher International Conference on Machine Learning, 2810-2819, 2019 | 78 | 2019 |
| Robust reinforcement learning via adversarial training with langevin dynamics P Kamalaruban, YT Huang, YP Hsieh, P Rolland, C Shi, V Cevher Advances in Neural Information Processing Systems 33, 8127-8138, 2020 | 58 | 2020 |
| Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval G Odor, YH Li, A Yurtsever, YP Hsieh, Q Tran-Dinh, M El Halabi, V Cevher 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 33 | 2016 |
| Stochastic spectral descent for discrete graphical models D Carlson, YP Hsieh, E Collins, L Carin, V Cevher IEEE Journal of Selected Topics in Signal Processing 10 (2), 296-311, 2015 | 33 | 2015 |
| The schrödinger bridge between gaussian measures has a closed form C Bunne, YP Hsieh, M Cuturi, A Krause International Conference on Artificial Intelligence and Statistics, 5802-5833, 2023 | 29* | 2023 |
| Aligned Diffusion Schr\" odinger Bridges VR Somnath, M Pariset, YP Hsieh, MR Martinez, A Krause, C Bunne Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial …, 2023 | 27 | 2023 |
| Preconditioned spectral descent for deep learning DE Carlson, E Collins, YP Hsieh, L Carin, V Cevher Advances in neural information processing systems 28, 2015 | 25 | 2015 |
| A unified stochastic approximation framework for learning in games P Mertikopoulos, YP Hsieh, V Cevher Mathematical Programming 203 (1), 559-609, 2024 | 23* | 2024 |
| Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games EA Kangarshahi, YP Hsieh, MF Sahin, V Cevher International Conference on Machine Learning, 2488-2496, 2018 | 23 | 2018 |
| An efficient streaming algorithm for the submodular cover problem A Norouzi-Fard, A Bazzi, I Bogunovic, M El Halabi, YP Hsieh, V Cevher Advances in Neural Information Processing Systems 29, 2016 | 22 | 2016 |
| On the asynchronous information embedding for event-driven systems in molecular communications YP Hsieh, YC Lee, PJ Shih, PC Yeh, KC Chen Nano Communication Networks 4 (1), 2-13, 2013 | 22 | 2013 |
| Scalable convex methods for phase retrieval A Yurtsever, YP Hsieh, V Cevher 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 18 | 2015 |
| Mathematical foundations for information theory in diffusion-based molecular communications YP Hsieh, PC Yeh arXiv preprint arXiv:1311.4431, 2013 | 15 | 2013 |
| A non-Euclidean gradient descent framework for non-convex matrix factorization YP Hsieh, YC Kao, RK Mahabadi, A Yurtsever, A Kyrillidis, V Cevher IEEE Transactions on Signal Processing 66 (22), 5917-5926, 2018 | 12 | 2018 |
| A geometric view on constrained M-estimators YH Li, YP Hsieh, N Zerbib, V Cevher arXiv preprint arXiv:1506.08163, 2015 | 12 | 2015 |
| An asynchronous communication scheme for molecular communication YP Hsieh, PJ Shih, YC Lee, PC Yeh, KC Chen 2012 IEEE International Conference on Communications (ICC), 6177-6182, 2012 | 11 | 2012 |
| Conditional gradient methods for stochastically constrained convex minimization ML Vladarean, A Alacaoglu, YP Hsieh, V Cevher International Conference on Machine Learning, 9775-9785., 2020 | 8 | 2020 |
| The dynamics of riemannian robbins-monro algorithms MR Karimi, YP Hsieh, P Mertikopoulos, A Krause Proceedings of Thirty Fifth Conference on Learning Theory (COLT) 178, 2022 | 6 | 2022 |
