Ya-Ping Hsieh

2023
The Schrödinger Bridge between Gaussian Measures has a Closed Form C. Bunne, Y. P. Hsieh, M. Cuturi, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Oral presentation [bibtex] [abstract] [pdf]
Aligned Diffusion Schrödinger Bridges V. R. Somnath, M. Pariset, Y. P. Hsieh, M. R. Martinez, A. Krause, C. Bunne In arXiv preprint arXiv:2302.11419, 2023 [bibtex] [abstract] [pdf]
2022
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata T. Chavdarova, Y. P. Hsieh, M. I. Jordan In arXiv preprint arXiv:2207.07105, 2022 [bibtex] [abstract] [pdf]
The Dynamics of Riemannian Robbins-Monro Algorithms M. R. Karimi, Y. P. Hsieh, P. Mertikopoulos, A. Krause In Proc. of Thirty Fifth Conference on Learning Theory (COLT), 2022 [bibtex] [abstract] [pdf]
Learning in games from a stochastic approximation viewpoint P. Mertikopoulos, Y. P. Hsieh, V. Cevher In arXiv preprint arXiv:2206.03922, 2022 [bibtex] [abstract] [pdf]
2021
The limits of min-max optimization algorithms: Convergence to spurious non-critical sets Y. P. Hsieh, P. Mertikopoulos, V. Cevher In Proc. of Thirty Eighth International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics K. Parameswaran, Y. T. Huang, Y. P. Hsieh, P. T. Y. Rolland, C. Shi, V. Cevher In Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf]