Yuting Wei - RankMe

69 papers A* 18A 2B 1Journal 47Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Learning Dynamics of RLVR at the Edge of Competence. CoRR Yu Huang, Zixin Wen, Yuejie Chi, Yuting Wei, Aarti Singh, Yingbin Liang, Yuxin Chen
2025	A*	`conf`	Actor-Critics Can Achieve Optimal Sample Efficiency. ICML Kevin Tan, Wei Fan, Yuting Wei
2025	J	`jnl`	Faster Diffusion Models via Higher-Order Approximation. CoRR Gen Li, Yuchen Zhou, Yuting Wei, Yuxin Chen
2025	J	`jnl`	Statistical and Algorithmic Foundations of Reinforcement Learning. CoRR Yuejie Chi, Yuxin Chen, Yuting Wei
2025	A	`conf`	Towards a mathematical theory for consistency training in diffusion models. AISTATS Gen Li, Zhihan Huang, Yuting Wei
2025	J	`jnl`	Transformers Meet In-Context Learning: A Universal Approximation Theory. CoRR Gen Li, Yuchen Jiao, Yu Huang, Yuting Wei, Yuxin Chen
2024	J	`jnl`	A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Models. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	A non-asymptotic distributional theory of approximate message passing for sparse and robust regression. CoRR Gen Li, Yuting Wei
2024	A*	`conf`	Accelerating Convergence of Score-Based Diffusion Models, Provably. ICML Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2024	J	`jnl`	Debiasing Evaluations That Are Biased by Evaluations. J. Mach. Learn. Res. Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2024	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. J. Mach. Learn. Res. Shicong Cen, Yuting Wei, Yuejie Chi
2024	A*	`conf`	Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. NeurIPS Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	J	`jnl`	High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2024	A*	`conf`	Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs. NeurIPS Kevin Tan, Wei Fan, Yuting Wei
2024	J	`jnl`	Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs. CoRR Kevin Tan, Wei Fan, Yuting Wei
2024	J	`jnl`	Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
2024	J	`jnl`	Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models. CoRR Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei
2024	A*	`conf`	Theoretical insights for diffusion guidance: A case study for Gaussian mixture models. ICML Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei
2024	A*	`conf`	Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	J	`jnl`	Towards a mathematical theory for consistency training in diffusion models. CoRR Gen Li, Zhihan Huang, Yuting Wei
2023	J	`jnl`	Approximate message passing from random initialization with applications to ℤ CoRR Gen Li, Wei Fan, Yuting Wei
2023	J	`jnl`	Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
2023	J	`jnl`	Softmax policy gradient methods can take exponential time to converge. Math. Program. Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models. CoRR Gen Li, Yuting Wei
2022	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2022	A*	`conf`	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
2022	J	`jnl`	Mitigating multiple descents: A model-agnostic framework for risk monotonization. CoRR Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo
2022	A*	`conf`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2022	J	`jnl`	Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
2021	A*	`conf`	Debiasing Evaluations That Are Biased by Evaluations. AAAI Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2021	A*	`conf`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. CoRR Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Minimum 𝓁 CoRR Yue Li, Yuting Wei
2021	A*	`conf`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	J	`jnl`	Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
2021	A*	`conf`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2021	J	`jnl`	Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise. IEEE Trans. Inf. Theory Chen Cheng, Yuting Wei, Yuxin Chen
2021	A*	`conf`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
2021	A	`conf`	Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. AISTATS Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani
2020	A*	`conf`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Debiasing Evaluations That are Biased by Evaluations. CoRR Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
2020	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2020	J	`jnl`	Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. CoRR Chen Cheng, Yuting Wei, Yuxin Chen
2020	A*	`conf`	Randomized tests for high-dimensional regression: A more efficient and powerful solution. NeurIPS Yue Li, Ilmun Kim, Yuting Wei
2020	A*	`conf`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
2020	J	`jnl`	Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification. CoRR Chen Dan, Yuting Wei, Pradeep Ravikumar
2020	A*	`conf`	Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification. ICML Chen Dan, Yuting Wei, Pradeep Ravikumar
2020	J	`jnl`	The Lasso with general Gaussian designs with applications to hypothesis testing. CoRR Michael Celentano, Andrea Montanari, Yuting Wei
2020	J	`jnl`	The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths. IEEE Trans. Inf. Theory Yuting Wei, Martin J. Wainwright
2019	J	`jnl`	Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities. IEEE Trans. Inf. Theory Yuting Wei, Fanny Yang, Martin J. Wainwright
2018	J	`jnl`	From Gauss to Kolmogorov: Localized Measures of Complexity for Ellipses. CoRR Yuting Wei, Billy Fang, Martin J. Wainwright
2017	—	`conf`	Early stopping for kernel boosting algorithms: A general analysis with localized complexities. NIPS Yuting Wei, Fanny Yang, Martin J. Wainwright
2017	J	`jnl`	Early stopping for kernel boosting algorithms: A general analysis with localized complexities. CoRR Yuting Wei, Fanny Yang, Martin J. Wainwright
2017	J	`jnl`	The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii. CoRR Yuting Wei, Martin J. Wainwright, Adityanand Guntuboyina
2017	J	`jnl`	The local geometry of testing in ellipses: Tight control via localized Kolomogorov widths. CoRR Yuting Wei, Martin J. Wainwright
2016	B	`conf`	Sharp minimax bounds for testing discrete monotone distributions. ISIT Yuting Wei, Martin J. Wainwright