Tianyi Lin
University of California, Berkeley
H-index: 24
North America-United States
Top articles of Tianyi Lin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A specialized semismooth Newton method for kernel-based optimal transport | Tianyi Lin Marco Cuturi Michael Jordan | 2024/4/18 | |
Perseus: A simple and optimal high-order method for variational inequalities | Mathematical Programming | Tianyi Lin Michael I Jordan | 2024/3/13 |
Curvature-independent last-iterate convergence for games on Riemannian manifolds | arXiv preprint arXiv:2306.16617 | Yang Cai Michael I Jordan Tianyi Lin Argyris Oikonomou Emmanouil-Vasileios Vlatakis-Gkaragkounis | 2023/6/29 |
Monotone inclusions, acceleration, and closed-loop control | Mathematics of Operations Research | Tianyi Lin Michael I Jordan | 2023/1/4 |
Structure-driven algorithm design in optimization and machine learning | Tianyi Lin | 2023 | |
First-order algorithms for nonlinear generalized Nash equilibrium problems | Journal of Machine Learning Research | Michael I Jordan Tianyi Lin Manolis Zampetakis | 2023 |
Adaptive, doubly optimal no-regret learning in strongly monotone and exp-concave games with gradient feedback | arXiv preprint arXiv:2310.14085 | Michael I Jordan Tianyi Lin Zhengyuan Zhou | 2023/10/21 |
Deterministic nonsmooth nonconvex optimization | Michael Jordan Guy Kornowski Tianyi Lin Ohad Shamir Manolis Zampetakis | 2023/7/12 | |
On structured filtering-clustering: Global error bound and optimal first-order algorithms | Nhat Ho Tianyi Lin Michael Jordan | 2022/5/3 | |
Explicit second-order min-max optimization methods with optimal convergence guarantee | arXiv preprint arXiv:2210.12860 | Tianyi Lin Panayotis Mertikopoulos Michael I Jordan | 2022/10/23 |
Fast distributionally robust learning with variance-reduced min-max optimization | Yaodong Yu Tianyi Lin Eric V Mazumdar Michael Jordan | 2022/5/3 | |
A control-theoretic perspective on optimal high-order optimization | Mathematical Programming | Tianyi Lin Michael I Jordan | 2022/9/1 |
On the efficiency of entropic regularized algorithms for optimal transport | Journal of Machine Learning Research | Tianyi Lin Nhat Ho Michael I Jordan | 2022/3/22 |
A nonasymptotic analysis of gradient descent ascent for nonconvex-concave minimax problems | Available at SSRN 4181867 | Tianyi Lin Chi Jin Michael I Jordan | 2022/8/1 |
Accelerating adaptive cubic regularization of Newton’s method via random sampling | Journal of Machine Learning Research | Xi Chen Bo Jiang Tianyi Lin Shuzhong Zhang | 2022 |
Online nonsubmodular minimization with delayed costs: From full information to bandit feedback | Tianyi Lin Aldo Pacchiano Yaodong Yu Michael Jordan | 2022/6/28 | |
On the complexity of approximating multimarginal optimal transport | Journal of Machine Learning Research | Tianyi Lin Nhat Ho Marco Cuturi Michael I Jordan | 2022 |
First-order algorithms for min-max optimization in geodesic metric spaces | Advances in Neural Information Processing Systems | Michael Jordan Tianyi Lin Emmanouil-Vasileios Vlatakis-Gkaragkounis | 2022/12/6 |
A continuous-time perspective on global acceleration for monotone equation problems | arXiv preprint arXiv:2206.04770 | Tianyi Lin Michael I Jordan | 2022/6/9 |
Gradient-free methods for deterministic and stochastic nonsmooth nonconvex optimization | Advances in Neural Information Processing Systems | Tianyi Lin Zeyu Zheng Michael Jordan | 2022/12/6 |
Co-Authors
