Yuting Wei

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 68

Top Topics

Sample Complexity

Reinforcement Learning

Diffusion Models

Asymptotic Convergence

Top Venues

IEEE Trans. Inf. Theory

Publications

Yuchen Wu, Minshuo Chen, Zihao Li, Mengdi Wang, Yuting Wei
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models. CoRR (2024)
Gen Li, Changxiao Cai, Yuxin Chen, Yuting Wei, Yuejie Chi
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis. Oper. Res. 72 (1) (2024)
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation. IEEE Trans. Inf. Theory 70 (8) (2024)
Yuting Wei, Yuanxing Xu, Xinru Wei, Simin Yang, Yangfu Zhu, Yuqing Li, Di Liu, Bin Wu
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models. CoRR (2024)
Gen Li, Yuting Wei
A non-asymptotic distributional theory of approximate message passing for sparse and robust regression. CoRR (2024)
Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models. ICLR (2024)
Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. Oper. Res. 72 (1) (2024)
Yuting Wei, Yangfu Zhu, Ting Bai, Bin Wu
A cross-temporal contrastive disentangled model for ancient Chinese understanding. Neural Networks 179 (2024)
Gen Li, Zhihan Huang, Yuting Wei
Towards a mathematical theory for consistency training in diffusion models. CoRR (2024)
Meiling Li, Yuting Wei, Yangfu Zhu, Siqi Wei, Bin Wu
Enhancing multimodal depression detection with intra- and inter-sample contrastive learning. Inf. Sci. 684 (2024)
Gen Li, Yu Huang, Timofey Efimov, Yuting Wei, Yuejie Chi, Yuxin Chen
Accelerating Convergence of Score-Based Diffusion Models, Provably. CoRR (2024)
Yuanxing Xu, Yuting Wei, Bin Wu
Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding. ACM Multimedia (2023)
Yuanxing Xu, Yuting Wei, Bin Wu
Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding. CoRR (2023)
Gen Li, Weichen Wu, Yuejie Chi, Cong Ma, Alessandro Rinaldo, Yuting Wei
Sharp high-probability sample complexities for policy evaluation with linear function approximation. CoRR (2023)
Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR (2023)
Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu
Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. IJCNN (2023)
Yangfu Zhu, Yuting Wei, Meiling Li, Tingting Zhang, Siqi Wei, Bin Wu
PCENet: Psychological Clues Exploration Network for Multimodal Personality Assessment. CIKM (2023)
Gen Li, Wei Fan, Yuting Wei
synchronization. CoRR (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR (2023)
Jingyi Zhang, Yuting Wei, Yangfu Zhu, Bin Wu
Self-adaptive Prompt-tuning for Event Extraction in Ancient Chinese Literature. IJCNN (2023)
Gen Li, Yuting Wei, Yuejie Chi, Yuxin Chen
Softmax policy gradient methods can take exponential time to converge. Math. Program. 201 (1) (2023)
Xiaoxian Yang, Yuting Wei, Linxiang Shi, Lin Chen
Applying Probabilistic Model Checking to Path Planning for a Smart Multimodal Transportation System Using IoT Sensor Data. Mob. Networks Appl. 28 (1) (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS (2023)
Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models. CoRR (2023)
Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. CoRR (2022)
Yingwen Chen, Yuting Wei, Deming Pang, Guangtao Xue
A Deep Learning Approach Based on Continuous Wavelet Transform Towards Fall Detection. WASA (2) (2022)
Jiaqi Zhao, Ting Bai, Yuting Wei, Bin Wu
PoetryBERT: Pre-training with Sememe Knowledge for Classical Chinese Poetry. DMBD (2) (2022)
Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR (2022)
Pratik Patil, Arun Kumar Kuchibhotla, Yuting Wei, Alessandro Rinaldo
Mitigating multiple descents: A model-agnostic framework for risk monotonization. CoRR (2022)
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. 70 (4) (2022)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. IEEE Trans. Inf. Theory 68 (1) (2022)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML (2022)
Gen Li, Yuting Wei
A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models. CoRR (2022)
Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model. NeurIPS (2022)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR (2022)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. COLT (2021)
Shicong Cen, Yuting Wei, Yuejie Chi
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS (2021)
Yue Li, Yuting Wei
-norm interpolators: Precise asymptotics and multiple descent. CoRR (2021)
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. ICML (2021)
Yuting Wei, Qihua Wang, Xiaogang Duan, Jing Qin
Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random. Comput. Stat. Data Anal. 160 (2021)
Gen Li, Changxiao Cai, Yuxin Chen, Yuantao Gu, Yuting Wei, Yuejie Chi
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning. CoRR (2021)
Chen Cheng, Yuting Wei, Yuxin Chen
Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise. IEEE Trans. Inf. Theory 67 (11) (2021)
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. CoRR (2021)
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting. NeurIPS (2021)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That Are Biased by Evaluations. AAAI (2021)
Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan J. Tibshirani
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression. AISTATS (2021)
Shicong Cen, Yuting Wei, Yuejie Chi
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. CoRR (2021)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Softmax Policy Gradient Methods Can Take Exponential Time to Converge. CoRR (2021)
Chen Dan, Yuting Wei, Pradeep Ravikumar
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification. ICML (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. CoRR (2020)
Chen Dan, Yuting Wei, Pradeep Ravikumar
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification. CoRR (2020)
Michael Celentano, Andrea Montanari, Yuting Wei
The Lasso with general Gaussian designs with applications to hypothesis testing. CoRR (2020)
Yue Li, Ilmun Kim, Yuting Wei
Randomized tests for high-dimensional regression: A more efficient and powerful solution. NeurIPS (2020)
Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah
Debiasing Evaluations That are Biased by Evaluations. CoRR (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction. NeurIPS (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. CoRR (2020)
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model. NeurIPS (2020)
Yuting Wei, Huazheng Wang, Jiaqi Zhao, Yutong Liu, Yun Zhang, Bin Wu
GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph. ICKG (2020)
Chen Cheng, Yuting Wei, Yuxin Chen
Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity. CoRR (2020)
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR (2020)
Yuting Wei, Martin J. Wainwright
The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths. IEEE Trans. Inf. Theory 66 (8) (2020)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities. IEEE Trans. Inf. Theory 65 (10) (2019)
Yuting Wei, Billy Fang, Martin J. Wainwright
From Gauss to Kolmogorov: Localized Measures of Complexity for Ellipses. CoRR (2018)
Yuting Wei, Martin J. Wainwright, Adityanand Guntuboyina
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii. CoRR (2017)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early stopping for kernel boosting algorithms: A general analysis with localized complexities. CoRR (2017)
Yuting Wei, Martin J. Wainwright
The local geometry of testing in ellipses: Tight control via localized Kolomogorov widths. CoRR (2017)
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early stopping for kernel boosting algorithms: A general analysis with localized complexities. NIPS (2017)
Yuting Wei, Martin J. Wainwright
Sharp minimax bounds for testing discrete monotone distributions. ISIT (2016)
Youbing Feng, Yan Ma, Yuting Wei
基于移动锚节点的改进DV-Hop算法 (Improved DV-Hop Algorithm Based on Mobile Anchor Nodes). 计算机科学 42 (Z11) (2015)