Ya-Ping Hsieh Postdoctoral Fellow External Website yaping.hsieh@inf.ethz.ch CAB F 61.1 Publications 2024 Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm M. R. Karimi, Y. P. Hsieh, A. KrauseIn Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024[bibtex] [abstract] [pdf] 2023 A Dynamical System View of Langevin-Based Non-Convex Sampling M. R. Karimi, Y. P. Hsieh, A. KrauseIn Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] Stochastic Approximation Algorithms for Systems of Interacting Particles M. R. Karimi, Y. P. Hsieh, A. KrauseIn Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] Riemannian stochastic optimization methods avoid strict saddle points Y. P. Hsieh, M. R. Karimi, A. Krause, P. MertikopoulosIn Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023[bibtex] [abstract] Aligned Diffusion Schrödinger Bridges V. R. Somnath, M. Pariset, Y. P. Hsieh, M. R. Martinez, A. Krause, C. BunneIn Conference on Uncertainty in Artificial Intelligence (UAI), 2023[bibtex] [abstract] [pdf] Unbalanced Diffusion Schrödinger Bridge M. Pariset, Y. P. Hsieh, C. Bunne, A. Krause, V. D. BortoliIn arXiv Preprint arXiv:2306.09099v1, 2023[bibtex] [abstract] [pdf] 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] 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]
