Yuan, Rui

7 publications

AAAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan

TMLR 2025 The Initialization Determines Whether In-Context Learning Is Gradient Descent Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan

CVPR 2025 Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Quan Zhang, Jinwei Fang, Rui Yuan, Xi Tang, Yuxin Qi, Ke Zhang, Chun Yuan

NeurIPS 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence Carlo Alfano, Rui Yuan, Patrick Rebeschini

ICLR 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies Rui Yuan, Simon Shaolei Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao

AISTATS 2022 A General Sample Complexity Analysis of Vanilla Policy Gradient Rui Yuan, Robert M. Gower, Alessandro Lazaric

AISTATS 2022 SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums Jiabin Chen, Rui Yuan, Guillaume Garrigos, Robert M. Gower