Ya-Ping Hsieh Postdoctoral Fellow External Website yaping.hsieh@inf.ethz.ch CAB F 61.1 Publications 2023 The Schrödinger Bridge between Gaussian Measures has a Closed Form C. Bunne, Y. P. Hsieh, M. Cuturi, A. KrauseIn Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023Oral presentation[bibtex] [abstract] [pdf] Aligned Diffusion Schrödinger Bridges V. R. Somnath, M. Pariset, Y. P. Hsieh, M. R. Martinez, A. Krause, C. BunneIn 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. JordanIn 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. KrauseIn 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. CevherIn 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. CevherIn 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. CevherIn Neural Information Processing Systems (NeurIPS), 2020[bibtex] [abstract] [pdf]