Zhuoran Yang - RankMe

323 papers A* 106A 7C 1Journal 195Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. J. Mach. Learn. Res. Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2026	J	`jnl`	ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance Mask. CoRR Zhuoran Yang, Yanyong Zhang
2026	J	`jnl`	Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. CoRR Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	Demystifying the Slash Pattern in Attention: The Role of RoPE. CoRR Yuan Cheng, Fengzhuo Zhang, Yunlong Hou, Cunxiao Du, Chao Du, Tianyu Pang, Aixin Sun, Zhuoran Yang
2026	J	`jnl`	In-Context Reinforcement Learning From Suboptimal Historical Data. CoRR Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation. CoRR Zhuoran Yang, Xi Guo, Chenjing Ding, Chiyu Wang, Wei Wu, Yanyong Zhang
2026	J	`jnl`	Kelix Technical Report. CoRR Boyang Ding, Chenglong Chu, Dunju Zang, Han Li, Jiangxia Cao, Kun Gai, Muhao Wei, Ruiming Tang, Shiyao Wang, Siyang Mao, Xinchen Luo, Yahui Liu, Zhixin Ling, Zhuoran Yang, Ziming Li, Chengru Song, Guorui Zhou, Guowang Zhang, Hao Peng, Hao Wang, Jiaxin Deng, Jin Ouyang, Jinghao Zhang, Lejian Ren, Qianqian Wang, Qigen Hu, Tao Wang, Xing-wei Wang, Yiping Yang, Zixing Zhang, Ziqi Wang
2026	J	`jnl`	Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers. CoRR Juncheng Dong, Bowen He, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2026	J	`jnl`	Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report. CoRR Zhuoran Yang, Ed Li, Jianliang He, Aman Priyanshu, Baturay Saglam, Paul Kassianik, Sajana Weerawardhena, Anu Vellore, Blaine Nelson, Neusha Javidnia, Arthur Goldblatt, Fraser Burch, Avi Zohary, Assaf Eisenman, Mahdi Sabbaghi, Supriti Vijay, Rahim Dharssi, Dhruv Kedia, Kojin Oshiba, Yaron Singer, Amin Karbasi
2026	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. Manag. Sci. Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2026	J	`jnl`	On the Mechanism and Dynamics of Modular Addition: Fourier Features, Lottery Ticket, and Grokking. CoRR Jianliang He, Leda Wang, Siyu Chen, Zhuoran Yang
2025	J	`jnl`	Active Advantage-Aligned Online Reinforcement Learning with Offline Data. CoRR Xuefeng Liu, Hung T. C. Le, Siyu Chen, Rick Stevens, Zhuoran Yang, Matthew R. Walter, Yuxin Chen
2025	A*	`conf`	An Instrumental Value for Data Production and its Application to Data Pricing. ICML Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2025	A*	`conf`	BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. ICML Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang
2025	J	`jnl`	BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. CoRR Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang
2025	J	`jnl`	Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation. CoRR Ed Li, Junyu Ren, Xintian Pan, Cat Yan, Chuanhao Li, Dirk Bergemann, Zhuoran Yang
2025	A*	`conf`	Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. ICLR Siyu Chen, Beining Wu, Miao Lu, Zhuoran Yang, Tianhao Wang
2025	J	`jnl`	Cross-Domain Offline Policy Adaptation with Dynamics- and Value-Aligned Data Filtering. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Chenjia Bai, Xiu Li, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	A*	`conf`	Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. ICML Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization. CoRR Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens
2025	J	`jnl`	Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts. CoRR Zhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu
2025	J	`jnl`	Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework. CoRR Jing Wang, Fengzhuo Zhang, Xiaoli Li, Vincent Y. F. Tan, Tianyu Pang, Chao Du, Aixin Sun, Zhuoran Yang
2025	A*	`conf`	In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention. ICML Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang
2025	J	`jnl`	In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention. CoRR Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang
2025	A*	`conf`	In-Context Reinforcement Learning From Suboptimal Historical Data. ICML Juncheng Dong, Moyang Guo, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh
2025	J	`jnl`	Is Pessimism Provably Efficient for Offline Reinforcement Learning? Math. Oper. Res. Ying Jin, Zhuoran Yang, Zhaoran Wang
2025	J	`jnl`	Kwai Keye-VL 1.5 Technical Report. CoRR Biao Yang, Bin Wen, Boyang Ding, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Guowang Zhang, Han Shen, Hao Peng, Haojie Ding, Hao Wang, Haonan Fan, Hengrui Ju, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Muhao Wei, Qiang Wang, Ruitao Wang, Sen Na, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yifan Zhang, Yiping Yang, Yulong Chen, Zeyi Lu, Zhenhua Wu, Zhixin Ling, Zhuoran Yang, Ziming Li, Di Xu, Haixuan Gao, Hang Li, Jing Wang, Lejian Ren, Qigen Hu, Qianqian Wang, Shiyao Wang, Xinchen Luo, Yan Li, Yuhang Hu, Zixing Zhang
2025	J	`jnl`	Kwai Keye-VL Technical Report. CoRR Kwai Keye Team, Biao Yang, Bin Wen, Changyi Liu, Chenglong Chu, Chengru Song, Chongling Rao, Chuan Yi, Da Li, Dunju Zang, Fan Yang, Guorui Zhou, Hao Peng, Haojie Ding, Jiaming Huang, Jiangxia Cao, Jiankang Chen, Jingyun Hua, Jin Ouyang, Kaibing Chen, Kaiyu Jiang, Kaiyu Tang, Kun Gai, Shengnan Zhang, Siyang Mao, Sui Huang, Tianke Zhang, Tingting Gao, Wei Chen, Wei Yuan, Xiangyu Wu, Xiao Hu, Xingyu Lu, Yang Zhou, Yifan Zhang, Yiping Yang, Yulong Chen, Zhenhua Wu, Zhenyu Li, Zhixin Ling, Ziming Li, Dehua Ma, Di Xu, Haixuan Gao, Hang Li, Jiawei Guo, Jing Wang, Lejian Ren, Muhao Wei, Qianqian Wang, Qigen Hu, Shiyao Wang, Tao Yu, Xinchen Luo, Yan Li, Yiming Liang, Yuhang Hu, Zeyi Lu, Zhuoran Yang, Zixing Zhang
2025	—	`conf`	Learning Task Representations from In-Context Learning. ACL (Findings) Baturay Saglam, Xinyang Hu, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi
2025	J	`jnl`	Learning Task Representations from In-Context Learning. CoRR Baturay Saglam, Zhuoran Yang, Dionysis Kalogerias, Amin Karbasi
2025	J	`jnl`	Learning to Lead: Incentivizing Strategic Agents in the Dark. CoRR Yuchen Wu, Xinyi Zhong, Zhuoran Yang
2025	J	`jnl`	LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. CoRR Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang
2025	J	`jnl`	Multi-Channel Deep Pulse-Coupled Net: A Novel Bearing Fault Diagnosis Framework. IET Image Process. Yanxi Wu, Yalin Yang, Zhuoran Yang, Zhizhuo Yu, Jing Lian, Bin Li, Jizhao Liu, Kaiyuan Yang
2025	J	`jnl`	Muon Outperforms Adam in Tail-End Associative Memory Learning. CoRR Shuche Wang, Fengzhuo Zhang, Jiaxiang Li, Cunxiao Du, Chao Du, Tianyu Pang, Zhuoran Yang, Mingyi Hong, Vincent Y. F. Tan
2025	J	`jnl`	Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning. CoRR Zhiyu Mou, Miao Xu, Rongquan Bai, Zhuoran Yang, Chuan Yu, Jian Xu, Bo Zheng
2025	J	`jnl`	Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. J. Mach. Learn. Res. Han Shen, Zhuoran Yang, Tianyi Chen
2025	J	`jnl`	Quantile-Optimal Policy Learning under Unmeasured Confounding. CoRR Zhongren Chen, Siyu Chen, Zhengling Qi, Xiaohong Chen, Zhuoran Yang
2025	J	`jnl`	Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation. CoRR Yunhai Feng, Jiaming Han, Zhuoran Yang, Xiangyu Yue, Sergey Levine, Jianlan Luo
2025	J	`jnl`	Sample-Efficient Reinforcement Learning From Human Feedback via Information-Directed Sampling. IEEE Trans. Inf. Theory Han Qi, Haochen Yang, Qiaosheng Zhang, Zhuoran Yang
2025	J	`jnl`	Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling. CoRR Han Qi, Haochen Yang, Qiaosheng Zhang, Zhuoran Yang
2025	J	`jnl`	Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving. CoRR Shumin Wang, Zhuoran Yang, Lidian Wang, Zhipeng Tang, Heng Li, Lehan Pan, Sha Zhang, Jie Peng, Jianmin Ji, Yanyong Zhang
2025	J	`jnl`	Taming Polysemanticity in LLMs: Provable Feature Recovery via Sparse Autoencoders. CoRR Siyu Chen, Heejune Sheen, Xuyuan Xiong, Tianhao Wang, Zhuoran Yang
2025	J	`jnl`	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2025	A*	`conf`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. ICML Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	J	`jnl`	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. CoRR Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang
2025	J	`jnl`	Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning. CoRR Awni Altabaa, Siyu Chen, John Lafferty, Zhuoran Yang
2025	A	`conf`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. AISTATS Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2024	A*	`conf`	A General Framework for Sequential Decision-Making under Adaptivity Constraints. ICML Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
2024	J	`jnl`	A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. CoRR Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, Xiaohong Chen
2024	J	`jnl`	AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? CoRR Kaixiong Gong, Kaituo Feng, Bohao Li, Yibing Wang, Mofan Cheng, Shijia Yang, Jiaming Han, Benyou Wang, Yutong Bai, Zhuoran Yang, Xiangyu Yue
2024	J	`jnl`	An Instrumental Value for Data Production and its Application to Data Pricing. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu
2024	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. CoRR Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2024	J	`jnl`	Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory. CoRR Xingyao Li, Fengzhuo Zhang, Jiachun Pan, Yunlong Hou, Vincent Y. F. Tan, Zhuoran Yang
2024	J	`jnl`	False Correlation Reduction for Offline Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Tianyi Zhou, Zhaoran Wang, Jing Jiang
2024	A*	`conf`	From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. ICML Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang
2024	J	`jnl`	From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. CoRR Jianliang He, Siyu Chen, Fengzhuo Zhang, Zhuoran Yang
2024	A*	`conf`	How Does Goal Relabeling Improve Sample Efficiency? ICML Sirui Zheng, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2024	J	`jnl`	Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. J. Mach. Learn. Res. Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang
2024	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. J. Mach. Learn. Res. Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2024	J	`jnl`	Learning Regularized Graphon Mean-Field Games with Unknown Graphons. J. Mach. Learn. Res. Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2024	A*	`conf`	Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning. ICML Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
2024	J	`jnl`	Neural Temporal Difference and Q Learning Provably Converge to Global Optima. Math. Oper. Res. Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2024	A*	`conf`	On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games. NeurIPS Awni Altabaa, Zhuoran Yang
2024	J	`jnl`	On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games. CoRR Awni Altabaa, Zhuoran Yang
2024	J	`jnl`	Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024	J	`jnl`	Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li
2024	J	`jnl`	Physical Informed Driving World Model. CoRR Zhuoran Yang, Xi Guo, Chenjing Ding, Chiyu Wang, Wei Wu
2024	A*	`conf`	Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. ICML Han Shen, Zhuoran Yang, Tianyi Chen
2024	J	`jnl`	Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. CoRR Han Shen, Zhuoran Yang, Tianyi Chen
2024	J	`jnl`	Provable Statistical Rates for Consistency Diffusion Models. CoRR Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
2024	J	`jnl`	STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. CoRR Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang
2024	A*	`conf`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2024	A*	`conf`	Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. ICLR Jianliang He, Han Zhong, Zhuoran Yang
2024	J	`jnl`	Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. CoRR Jianliang He, Han Zhong, Zhuoran Yang
2024	A*	`conf`	Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. ICLR Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
2024	A*	`conf`	Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. ICML Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran Yang
2024	A*	`conf`	Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). COLT Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
2024	J	`jnl`	Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality. CoRR Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
2024	J	`jnl`	Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory. CoRR Hengyu Fu, Zhuoran Yang, Mengdi Wang, Minshuo Chen
2024	A*	`conf`	Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers. NeurIPS Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
2024	J	`jnl`	Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers. CoRR Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
2024	J	`jnl`	Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods. CoRR Xinyang Hu, Fengzhuo Zhang, Siyu Chen, Zhuoran Yang
2023	J	`jnl`	A General Framework for Sequential Decision-Making under Adaptivity Constraints. CoRR Nuoya Xiong, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. SIAM J. Optim. Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations. CoRR Siyu Chen, Yitan Wang, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks. CoRR Siyu Chen, Mengdi Wang, Zhuoran Yang
2023	J	`jnl`	Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. Proc. ACM Hum. Comput. Interact. Nikola Banovic, Zhuoran Yang, Aditya Ramesh, Alice Liu
2023	J	`jnl`	Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? J. Mach. Learn. Res. Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2023	A*	`conf`	Can We Find Nash Equilibria at a Linear Rate in Markov Games? ICLR Zhuoqing Song, Jason D. Lee, Zhuoran Yang
2023	J	`jnl`	Can We Find Nash Equilibria at a Linear Rate in Markov Games? CoRR Zhuoqing Song, Jason D. Lee, Zhuoran Yang
2023	J	`jnl`	Contextual Dynamic Pricing with Strategic Buyers. CoRR Pangpang Liu, Zhuoran Yang, Zhaoran Wang, Will Wei Sun
2023	A*	`conf`	Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. ICLR Wenhao Zhan, Jason D. Lee, Zhuoran Yang
2023	A*	`conf`	Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. NeurIPS Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
2023	J	`jnl`	Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. CoRR Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
2023	J	`jnl`	Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. J. Mach. Learn. Res. Zihao Li, Boyi Liu, Zhuoran Yang, Zhaoran Wang, Mengdi Wang
2023	J	`jnl`	Empowering Autonomous Driving with Large Language Models: A Safety Perspective. CoRR Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	A*	`conf`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. ICML Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
2023	A	`conf`	Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. AISTATS Ruitu Xu, Yifei Min, Tianhao Wang, Michael I. Jordan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. CoRR Ruitu Xu, Yifei Min, Tianhao Wang, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2023	—	`conf`	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. ICCPS Yixuan Wang, Simon Sinong Zhan, Zhilu Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2023	J	`jnl`	Learning Regularized Graphon Mean-Field Games with Unknown Graphons. CoRR Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	Learning Regularized Monotone Graphon Mean-Field Games. NeurIPS Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Learning Regularized Monotone Graphon Mean-Field Games. CoRR Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang
2023	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. Math. Oper. Res. Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. ICML Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
2023	J	`jnl`	Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. CoRR Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang
2023	A*	`conf`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. ICML Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	J	`jnl`	Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. CoRR Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee
2023	A*	`conf`	Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	A*	`conf`	Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. ICLR Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
2023	J	`jnl`	Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. CoRR Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan
2023	J	`jnl`	One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang
2023	A*	`conf`	Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games. NeurIPS Zihan Zhu, Ethan X. Fang, Zhuoran Yang
2023	A*	`conf`	Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. ICLR Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvári, Zhaoran Wang
2023	J	`jnl`	Partial Discharge Characteristics and Growth Stage Recognition of Electrical Tree in XLPE Insulation. IEEE Access Zhuoran Yang, Yuan Gao, Jingfang Deng, Lixiang Lv
2023	A*	`conf`	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. ICLR Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. NeurIPS Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2023	J	`jnl`	Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. CoRR Shuang Qiu, Ziyu Dai, Han Zhong, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2023	—	`conf`	Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2023	J	`jnl`	Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2023	J	`jnl`	Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
2023	J	`jnl`	Provably Efficient Reinforcement Learning with Linear Function Approximation. Math. Oper. Res. Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2023	A*	`conf`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. ICML Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	J	`jnl`	Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. CoRR Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang
2023	J	`jnl`	Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism. CoRR Zihao Li, Zhuoran Yang, Mengdi Wang
2023	A*	`conf`	Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2023	J	`jnl`	Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
2023	A*	`conf`	The Sample Complexity of Online Contract Design. EC Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2023	J	`jnl`	What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. CoRR Yufeng Zhang, Fengzhuo Zhang, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. CoRR Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	A*	`conf`	A Unifying Framework of Off-Policy General Value Function Evaluation. NeurIPS Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2022	—	`conf`	Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. BuildSys Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Zheng O'Neill, Zhaoran Wang, Qi Zhu
2022	A*	`conf`	Adaptive Model Design for Markov Decision Process. ICML Siyu Chen, Donglin Yang, Jiayang Li, Senmiao Wang, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. ICML Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. CoRR Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. CoRR Wenhao Zhan, Jason D. Lee, Zhuoran Yang
2022	J	`jnl`	Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. CoRR Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
2022	A*	`conf`	Exponential Family Model-Based Reinforcement Learning via Score Matching. NeurIPS Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond. CoRR Han Zhong, Wei Xiong, Sirui Zheng, Liwei Wang, Zhaoran Wang, Zhuoran Yang, Tong Zhang
2022	A	`conf`	Gap-Dependent Bounds for Two-Player Markov Games. AISTATS Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2022	A*	`conf`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. ICML Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	J	`jnl`	Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. CoRR Xiaoyu Chen, Han Zhong, Zhuoran Yang, Zhaoran Wang, Liwei Wang
2022	A*	`conf`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. NeurIPS Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2022	J	`jnl`	Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. CoRR Yixuan Wang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
2022	A*	`conf`	Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. NeurIPS Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2022	J	`jnl`	Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. CoRR Yifei Min, Tianhao Wang, Ruitu Xu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2022	J	`jnl`	Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. CoRR Boxiang Lyu, Qinglin Meng, Shuang Qiu, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
2022	A*	`conf`	Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Offline Policy Optimization in RL with Variance Regularizaton. CoRR Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup
2022	J	`jnl`	Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. CoRR Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang
2022	J	`jnl`	Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. CoRR Zuyue Fu, Zhengling Qi, Zhaoran Wang, Zhuoran Yang, Yanxun Xu, Michael R. Kosorok
2022	J	`jnl`	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. CoRR Miao Lu, Yifei Min, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. ICML Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
2022	J	`jnl`	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. CoRR Boxiang Lyu, Zhaoran Wang, Mladen Kolar, Zhuoran Yang
2022	A*	`conf`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	J	`jnl`	Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. CoRR Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhihong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
2022	A*	`conf`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. ICML Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. CoRR Han Zhong, Wei Xiong, Jiyuan Tan, Liwei Wang, Tong Zhang, Zhaoran Wang, Zhuoran Yang
2022	J	`jnl`	Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality. CoRR Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. ICML Hongyi Guo, Qi Cai, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. ICML Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. ICLR Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang
2022	A*	`conf`	Reinforcement Learning with Logarithmic Regret and Policy Switches. NeurIPS Grigoris Velegkas, Zhuoran Yang, Amin Karbasi
2022	A*	`conf`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. NeurIPS Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. CoRR Fengzhuo Zhang, Boyi Liu, Kaixin Wang, Vincent Y. F. Tan, Zhuoran Yang, Zhaoran Wang
2022	J	`jnl`	Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations. CoRR Qi Cai, Zhuoran Yang, Zhaoran Wang
2022	A*	`conf`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. EC Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2022	J	`jnl`	Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. CoRR Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu
2022	J	`jnl`	Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. CoRR Mengxin Yu, Zhuoran Yang, Jianqing Fan
2022	J	`jnl`	The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches. CoRR Grigoris Velegkas, Zhuoran Yang, Amin Karbasi
2022	J	`jnl`	The Sample Complexity of Online Contract Design. CoRR Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan
2022	A*	`conf`	Towards General Function Approximation in Zero-Sum Markov Games. ICLR Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang
2022	A*	`conf`	Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. ICML Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang
2021	J	`jnl`	A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. CoRR Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021	A*	`conf`	A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. NeurIPS Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	A Unified Off-Policy Evaluation Approach for General Value Function. CoRR Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	A*	`conf`	BooVI: Provably Efficient Bootstrapped Value Iteration. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? CoRR Han Zhong, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2021	A*	`conf`	Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. ICML Hongyi Guo, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Decentralized multi-agent reinforcement learning with networked agents: recent advances. Frontiers Inf. Technol. Electron. Eng. Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2021	A*	`conf`	Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. ICML Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	J	`jnl`	Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. CoRR Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang
2021	J	`jnl`	Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis. Comput. Stat. Liya Fu, Zhuoran Yang, Fengjing Cai, You-Gan Wang
2021	J	`jnl`	ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. CoRR Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan
2021	A*	`conf`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang
2021	J	`jnl`	Exponential Family Model-Based Reinforcement Learning via Score Matching. CoRR Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents. IEEE Trans. Autom. Control. Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2021	J	`jnl`	Gap-Dependent Bounds for Two-Player Markov Games. CoRR Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
2021	J	`jnl`	Generalized estimating equations for analyzing multivariate survival data. Commun. Stat. Simul. Comput. Liya Fu, Zhuoran Yang, Jun Zhang, Anle Long, Yan Zhou
2021	A*	`conf`	Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. ICML Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. CoRR Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
2021	A*	`conf`	Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. ICML Lewis Liu, Yufeng Zhang, Zhuoran Yang, Reza Babanezhad, Zhaoran Wang
2021	J	`jnl`	Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. CoRR Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2021	A*	`conf`	Is Pessimism Provably Efficient for Offline RL? ICML Ying Jin, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Learning While Playing in Mean-Field Games: Convergence and Optimality. ICML Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2021	A*	`conf`	Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. NeurIPS Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	On Finite-Time Convergence of Actor-Critic Algorithm. IEEE J. Sel. Areas Inf. Theory Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2021	A*	`conf`	On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. ICML Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. CoRR Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. CoRR Pratik Ramprasad, Yuantong Li, Zhuoran Yang, Zhaoran Wang, Will Wei Sun, Guang Cheng
2021	J	`jnl`	Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. CoRR Han Zhong, Zhuoran Yang, Zhaoran Wang, Csaba Szepesvári
2021	A*	`conf`	Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL. NeurIPS Minshuo Chen, Yan Li, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao
2021	A	`conf`	Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. AISTATS Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. ICML Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021	J	`jnl`	Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	A	`conf`	Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. AISTATS Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2021	—	`conf`	Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. L4DC Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang
2021	J	`jnl`	Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang
2021	A*	`conf`	Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
2021	A*	`conf`	Reinforcement Learning for Cost-Aware Markov Decision Processes. ICML Wesley Suttle, Kaiqing Zhang, Zhuoran Yang, Ji Liu, David N. Kraemer
2021	A*	`conf`	Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. ICML Yingjie Fei, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. CoRR Zhihong Deng, Zuyue Fu, Lingxiao Wang, Zhuoran Yang, Chenjia Bai, Zhaoran Wang, Jing Jiang
2021	A	`conf`	Sample Elicitation. AISTATS Jiaheng Wei, Zuyue Fu, Yang Liu, Xingyu Li, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. ICLR Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2021	J	`jnl`	Towards General Function Approximation in Zero-Sum Markov Games. CoRR Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang
2021	A*	`conf`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. NeurIPS Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2021	J	`jnl`	Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. CoRR Yufeng Zhang, Siyu Chen, Zhuoran Yang, Michael I. Jordan, Zhaoran Wang
2020	J	`jnl`	A Novel Model Integrating Deep Learning for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China. Remote. Sens. Yubo Zhang, Zhuoran Yang, Jiuchun Yang, Yuanyuan Yang, Dongyan Wang, Yucong Zhang, Fengqin Yan, Lingxue Yu, Liping Chang, Shuwen Zhang
2020	—	`conf`	A Theoretical Analysis of Deep Q-Learning. L4DC Jianqing Fan, Zhaoran Wang, Yuchen Xie, Zhuoran Yang
2020	J	`jnl`	A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. CoRR Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2020	A*	`conf`	Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. ICLR Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	A*	`conf`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. ICML Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations. CoRR Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan
2020	A*	`conf`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. NeurIPS Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	J	`jnl`	Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2020	A*	`conf`	Dynamic Regret of Policy Optimization in Non-Stationary Environments. NeurIPS Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Dynamic Regret of Policy Optimization in Non-stationary Environments. CoRR Yingjie Fei, Zhuoran Yang, Zhaoran Wang, Qiaomin Xie
2020	A*	`conf`	Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. ICML Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. CoRR Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Is Pessimism Provably Efficient for Offline RL? CoRR Ying Jin, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. COLT Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. CoRR Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
2020	J	`jnl`	Neural Certificates for Safe Control Policies. CoRR Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020	A*	`conf`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. ICLR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	On Computation and Generalization of Generative Adversarial Imitation Learning. ICLR Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
2020	J	`jnl`	On Computation and Generalization of Generative Adversarial Imitation Learning. CoRR Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao
2020	A*	`conf`	On the Global Optimality of Model-Agnostic Meta-Learning. ICML Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	On the Global Optimality of Model-Agnostic Meta-Learning. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. NeurIPS Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020	J	`jnl`	Provable Fictitious Play for General Mean-Field Games. CoRR Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2020	J	`jnl`	Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. CoRR Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Provably Efficient Exploration in Policy Optimization. ICML Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
2020	J	`jnl`	Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. CoRR Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
2020	A*	`conf`	Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach. NeurIPS Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang
2020	A*	`conf`	Provably Efficient Neural GTD for Off-Policy Learning. NeurIPS Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2020	A*	`conf`	Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations. NeurIPS Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan
2020	J	`jnl`	Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2020	A*	`conf`	Provably efficient reinforcement learning with linear function approximation. COLT Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2020	J	`jnl`	Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. CoRR Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
2020	A*	`conf`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. NeurIPS Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	J	`jnl`	Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. CoRR Yingjie Fei, Zhuoran Yang, Yudong Chen, Zhaoran Wang, Qiaomin Xie
2020	A*	`conf`	Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. ICML Shuang Qiu, Xiaohan Wei, Zhuoran Yang
2020	A*	`conf`	Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. ICML Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020	J	`jnl`	Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. CoRR Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2020	J	`jnl`	Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. CoRR Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2020	J	`jnl`	Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
2020	J	`jnl`	Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. CoRR Jianqing Fan, Zhuoran Yang, Mengxin Yu
2020	J	`jnl`	Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. CoRR Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020	A*	`conf`	Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020	J	`jnl`	Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. CoRR Zhuoran Yang, Yufeng Zhang, Yongxin Chen, Zhaoran Wang
2019	—	`conf`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CDC Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Basar, Romeil Sandhu, Ji Liu
2019	J	`jnl`	A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. CoRR Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Zhaoran Wang, Tamer Basar, Ji Liu
2019	J	`jnl`	A Theoretical Analysis of Deep Q-Learning. CoRR Zhuoran Yang, Yuchen Xie, Zhaoran Wang
2019	J	`jnl`	Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. CoRR Zuyue Fu, Zhuoran Yang, Yongxin Chen, Zhaoran Wang
2019	A*	`conf`	Convergent Policy Optimization for Safe Reinforcement Learning. NeurIPS Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2019	J	`jnl`	Convergent Policy Optimization for Safe Reinforcement Learning. CoRR Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
2019	J	`jnl`	Credible Sample Elicitation by Deep Learning, for Deep Learning. CoRR Yang Liu, Zuyue Fu, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	C	`conf`	Design of Single Channel Speech Separation System Based on Deep Clustering Model. ICIS Wei Zhao, Yuanyuan Sun, Zhuoran Yang, Haozhen Li
2019	J	`jnl`	Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. CoRR Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
2019	J	`jnl`	High-dimensional Varying Index Coefficient Models via Stein's Identity. J. Mach. Learn. Res. Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2019	—	`conf`	Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2019	J	`jnl`	Misspecified nonconvex statistical optimization for sparse phase retrieval. Math. Program. Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2019	J	`jnl`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. CoRR Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2019	J	`jnl`	Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator. CoRR Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2019	J	`jnl`	Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. CoRR Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. CoRR Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	A*	`conf`	Neural Temporal-Difference Learning Converges to Global Optima. NeurIPS Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2019	J	`jnl`	Neural Temporal-Difference Learning Converges to Global Optima. CoRR Qi Cai, Zhuoran Yang, Jason D. Lee, Zhaoran Wang
2019	A*	`conf`	Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. NeurIPS Boyi Liu, Qi Cai, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. CoRR Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019	A*	`conf`	On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. ICML Xiaohan Wei, Zhuoran Yang, Zhaoran Wang
2019	A*	`conf`	Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. NeurIPS Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. CoRR Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2019	J	`jnl`	Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. CoRR Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2019	J	`jnl`	Provably Efficient Exploration in Policy Optimization. CoRR Qi Cai, Zhuoran Yang, Chi Jin, Zhaoran Wang
2019	J	`jnl`	Provably Efficient Reinforcement Learning with Linear Function Approximation. CoRR Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
2019	A*	`conf`	Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. NeurIPS Zhuoran Yang, Yongxin Chen, Mingyi Hong, Zhaoran Wang
2019	—	`conf`	Research Character Analyzation of Urban Security Based on Urban Resilience Using Big Data Method. ICBDS Yi Chen, Zhuoran Yang, Zhicong Ye, Hui Liu
2019	J	`jnl`	Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. CoRR Shuang Qiu, Xiaohan Wei, Zhuoran Yang
2019	A*	`conf`	Statistical-Computational Tradeoff in Single Index Models. NeurIPS Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
2019	J	`jnl`	Stochastic Convergence Results for Regularized Actor-Critic Methods. CoRR Wesley Suttle, Zhuoran Yang, Kaiqing Zhang, Ji Liu
2019	J	`jnl`	Surface Charge Transport Characteristics of ZnO/Silicone Rubber Composites Under Impulse Superimposed on DC Voltage. IEEE Access Zhonglei Li, Zhuoran Yang, Boxue Du
2019	A*	`conf`	Variance Reduced Policy Evaluation with Smooth Function Approximation. NeurIPS Hoi-To Wai, Mingyi Hong, Zhuoran Yang, Zhaoran Wang, Kexin Tang
2018	—	`conf`	A Finite Sample Analysis of the Actor-Critic Algorithm. CDC Zhuoran Yang, Kaiqing Zhang, Mingyi Hong, Tamer Basar
2018	A*	`conf`	Contrastive Learning from Pairwise Measurements. NeurIPS Yi Chen, Zhuoran Yang, Yuchen Xie, Zhaoran Wang
2018	J	`jnl`	Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. CoRR Jianqing Fan, Han Liu, Zhaoran Wang, Zhuoran Yang
2018	J	`jnl`	Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. CoRR Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	A*	`conf`	Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. ICML Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	J	`jnl`	Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. CoRR Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Basar
2018	J	`jnl`	High-dimensional Varying Index Coefficient Models via Stein's Identity. CoRR Sen Na, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
2018	A*	`conf`	Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. NeurIPS Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018	J	`jnl`	Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. CoRR Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
2018	—	`conf`	Networked Multi-Agent Reinforcement Learning in Continuous Spaces. CDC Kaiqing Zhang, Zhuoran Yang, Tamer Basar
2018	A	`conf`	Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. AISTATS Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang
2018	J	`jnl`	On Semiparametric Exponential Family Graphical Models. J. Mach. Learn. Res. Zhuoran Yang, Yang Ning, Han Liu
2018	J	`jnl`	Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu
2018	A*	`conf`	Provable Gaussian Embedding with One Observation. NeurIPS Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang
2018	J	`jnl`	Provable Gaussian Embedding with One Observation. CoRR Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang
2017	—	`conf`	Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma. NIPS Zhuoran Yang, Krishnakumar Balasubramanian, Zhaoran Wang, Han Liu
2017	A*	`conf`	High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation. ICML Zhuoran Yang, Krishnakumar Balasubramanian, Han Liu
2017	J	`jnl`	Misspecified Nonconvex Statistical Optimization for Phase Retrieval. CoRR Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov
2016	—	`conf`	More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. NIPS Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu
2016	A*	`conf`	Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity. ICML Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang
2015	—	`conf`	Human Memory Search as Initial-Visit Emitting Random Walk. NIPS Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan
2015	J	`jnl`	Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference. CoRR Zhuoran Yang, Zhaoran Wang, Han Liu, Yonina C. Eldar, Tong Zhang