Lin, Tianyi

23 publications

ICLR 2026 Exploration vs Exploitation: Rethinking RLVR Through Clipping, Entropy, and Spurious Reward Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin

ICLR 2026 SciTS: Scientific Time Series Understanding and Generation with LLMs Wen Wu, Ziyang Zhang, Liwei Liu, Xuenan Xu, Jimin Zhuang, Ke Fan, Qitan Lv, Junlin Liu, Chen Zhang, Zheqi Yuan, Siyuan Hou, Tianyi Lin, Kai Chen, Bowen Zhou, Chao Zhang

TMLR 2026 Stepwise Guided Policy Optimization: Coloring Your Incorrect Reasoning in GRPO Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin

NeurIPS 2025 ComPO: Preference Alignment via Comparison Oracles Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin

JMLR 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin, Chi Jin, Michael I. Jordan

AISTATS 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport Tianyi Lin, Marco Cuturi, Michael Jordan

COLT 2023 Deterministic Nonsmooth Nonconvex Optimization Michael Jordan, Guy Kornowski, Tianyi Lin, Ohad Shamir, Manolis Zampetakis

JMLR 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems Michael I. Jordan, Tianyi Lin, Manolis Zampetakis

AISTATS 2022 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization Yaodong Yu, Tianyi Lin, Eric V. Mazumdar, Michael Jordan

AISTATS 2022 On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms Nhat Ho, Tianyi Lin, Michael Jordan

JMLR 2022 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling Xi Chen, Bo Jiang, Tianyi Lin, Shuzhong Zhang

NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis

NeurIPS 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization Tianyi Lin, Zeyu Zheng, Michael I. Jordan

JMLR 2022 On the Complexity of Approximating Multimarginal Optimal Transport Tianyi Lin, Nhat Ho, Marco Cuturi, Michael I. Jordan

JMLR 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport Tianyi Lin, Nhat Ho, Michael I. Jordan

ICML 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback Tianyi Lin, Aldo Pacchiano, Yaodong Yu, Michael Jordan

AISTATS 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification Tianyi Lin, Zeyu Zheng, Elynn Chen, Marco Cuturi, Michael I. Jordan

ICML 2020 Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos, Michael Jordan

NeurIPS 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi, Michael I. Jordan

COLT 2020 Near-Optimal Algorithms for Minimax Optimization Tianyi Lin, Chi Jin, Michael I. Jordan

ICML 2020 On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin, Chi Jin, Michael Jordan

NeurIPS 2020 Projection Robust Wasserstein Distance and Riemannian Optimization Tianyi Lin, Chenyou Fan, Nhat Ho, Marco Cuturi, Michael I. Jordan

ICML 2019 On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms Tianyi Lin, Nhat Ho, Michael Jordan