Human Memory Search as Initial-Visit Emitting Random Walk. - Kwang-Sung Jun; Xiaojin Zhu 001; Timothy T. Rogers; Zhuoran Yang; Ming Yuan 001 (NIPS, 2015)

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference. - Zhuoran Yang; Zhaoran Wang 001; Han Liu 001; Yonina C. Eldar; Tong Zhang 001 (CoRR, 2015)

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity. - Zhuoran Yang; Zhaoran Wang 001; Han Liu 001; Yonina C. Eldar; Tong Zhang 001 (ICML, 2016)

More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. - Xinyang Yi; Zhaoran Wang 001; Zhuoran Yang; Constantine Caramanis; Han Liu 001 (NIPS, 2016)

High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation. - Zhuoran Yang; Krishnakumar Balasubramanian 002; Han Liu 001 (ICML, 2017)

Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein's Lemma. - Zhuoran Yang; Krishnakumar Balasubramanian 002; Zhaoran Wang 001; Han Liu 001 (NIPS, 2017)

Misspecified Nonconvex Statistical Optimization for Phase Retrieval. - Zhuoran Yang; Lin F. Yang; Ethan X. Fang; Tuo Zhao; Zhaoran Wang 001; Matey Neykov (CoRR, 2017)

Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. - Kaiqing Zhang; Zhuoran Yang; Zhaoran Wang 001 (AISTATS, 2018)

A Finite Sample Analysis of the Actor-Critic Algorithm. - Zhuoran Yang; Kaiqing Zhang; Mingyi Hong 001; Tamer Basar (CDC, 2018)

Networked Multi-Agent Reinforcement Learning in Continuous Spaces. - Kaiqing Zhang; Zhuoran Yang; Tamer Basar (CDC, 2018)

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents. - Kaiqing Zhang; Zhuoran Yang; Han Liu 001; Tong Zhang 001; Tamer Basar (ICML, 2018)

Contrastive Learning from Pairwise Measurements. - Yi Chen; Zhuoran Yang; Yuchen Xie; Zhaoran Wang 001 (NeurIPS, 2018)

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2018)

Provable Gaussian Embedding with One Observation. - Ming Yu 005; Zhuoran Yang; Tuo Zhao; Mladen Kolar; Zhaoran Wang 001 (NeurIPS, 2018)

Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval. - Jianqing Fan; Han Liu 001; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2018)

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. - Jiechao Xiong; Qing Wang; Zhuoran Yang; Peng Sun 011; Lei Han 001; Yang Zheng; Haobo Fu; Tong Zhang 001; Ji Liu 001; Han Liu 001 (CoRR, 2018)

Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning. - Kaiqing Zhang; Zhuoran Yang; Han Liu 001; Tong Zhang 001; Tamer Basar (CoRR, 2018)

On Semiparametric Exponential Family Graphical Models. - Zhuoran Yang; Yang Ning; Han Liu 001 (J. Mach. Learn. Res., 2018)

Design of Single Channel Speech Separation System Based on Deep Clustering Model. - Wei Zhao; Yuanyuan Sun; Zhuoran Yang; Haozhen Li (ICIS, 2019)

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning. - Yixuan Lin; Kaiqing Zhang; Zhuoran Yang; Zhaoran Wang 001; Tamer Basar; Romeil Sandhu; Ji Liu 001 (CDC, 2019)

Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. - Kejun Huang; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (DSW, 2019)

Research Character Analyzation of Urban Security Based on Urban Resilience Using Big Data Method. - Yi Chen; Zhuoran Yang; Zhicong Ye; Hui Liu (ICBDS, 2019)

On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. - Xiaohan Wei; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2019)

Neural Temporal-Difference Learning Converges to Global Optima. - Qi Cai; Zhuoran Yang; Jason D. Lee; Zhaoran Wang 001 (NeurIPS, 2019)

Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2019)

Variance Reduced Policy Evaluation with Smooth Function Approximation. - Hoi-To Wai; Mingyi Hong 001; Zhuoran Yang; Zhaoran Wang 001; Kexin Tang (NeurIPS, 2019)

Statistical-Computational Tradeoff in Single Index Models. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2019)

Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (NeurIPS, 2019)

Convergent Policy Optimization for Safe Reinforcement Learning. - Ming Yu 005; Zhuoran Yang; Mladen Kolar; Zhaoran Wang 001 (NeurIPS, 2019)

Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. - Kaiqing Zhang; Zhuoran Yang; Tamer Basar (NeurIPS, 2019)

Surface Charge Transport Characteristics of ZnO/Silicone Rubber Composites Under Impulse Superimposed on DC Voltage. - Zhonglei Li; Zhuoran Yang; Boxue Du (IEEE Access, 2019)

A Theoretical Analysis of Deep Q-Learning. - Zhuoran Yang; Yuchen Xie; Zhaoran Wang 001 (CoRR, 2019)

A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning. - Wesley Suttle; Zhuoran Yang; Kaiqing Zhang; Zhaoran Wang 001; Tamer Basar; Ji Liu 001 (CoRR, 2019)

Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2019)

Stochastic Convergence Results for Regularized Actor-Critic Methods. - Wesley Suttle; Zhuoran Yang; Kaiqing Zhang; Ji Liu 001 (CoRR, 2019)

On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost. - Zhuoran Yang; Yongxin Chen; Mingyi Hong 001; Zhaoran Wang 001 (CoRR, 2019)

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. - Dongsheng Ding; Xiaohan Wei; Zhuoran Yang; Zhaoran Wang 001; Mihailo R. Jovanovic (CoRR, 2019)

Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rates and Global Landscape Analysis. - Shuang Qiu; Xiaohan Wei; Zhuoran Yang (CoRR, 2019)

Credible Sample Elicitation by Deep Learning, for Deep Learning. - Yang Liu 018; Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2019)

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. - Kaiqing Zhang; Zhuoran Yang; Tamer Basar (CoRR, 2019)

Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator. - Yuwei Luo; Zhuoran Yang; Zhaoran Wang 001; Mladen Kolar (CoRR, 2019)

High-dimensional Varying Index Coefficient Models via Stein's Identity. - Sen Na; Zhuoran Yang; Zhaoran Wang 001; Mladen Kolar (J. Mach. Learn. Res., 2019)

Misspecified nonconvex statistical optimization for sparse phase retrieval. - Zhuoran Yang; Lin F. Yang; Ethan X. Fang; Tuo Zhao; Zhaoran Wang 001; Matey Neykov (Math. Program., 2019)

On Computation and Generalization of Generative Adversarial Imitation Learning. - Minshuo Chen; Yizhou Wang 006; Tianyi Liu; Zhuoran Yang; Xingguo Li; Zhaoran Wang 001; Tuo Zhao (ICLR, 2020)

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. - Zuyue Fu; Zhuoran Yang; Yongxin Chen; Zhaoran Wang 001 (ICLR, 2020)

Neural Policy Gradient Methods: Global Optimality and Rates of Convergence. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICLR, 2020)

Provably Efficient Exploration in Policy Optimization. - Qi Cai; Zhuoran Yang; Chi Jin 001; Zhaoran Wang 001 (ICML, 2020)

Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees. - Sen Na; Yuwei Luo; Zhuoran Yang; Zhaoran Wang 001; Mladen Kolar (ICML, 2020)

Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis. - Shuang Qiu; Xiaohan Wei; Zhuoran Yang (ICML, 2020)

On the Global Optimality of Model-Agnostic Meta-Learning. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2020)

Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2020)

Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate. - Yufeng Zhang 007; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2020)

A Theoretical Analysis of Deep Q-Learning. - Jianqing Fan; Zhaoran Wang 001; Yuchen Xie; Zhuoran Yang (L4DC, 2020)

Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret. - Yingjie Fei; Zhuoran Yang; Yudong Chen 001; Zhaoran Wang 001; Qiaomin Xie (NeurIPS, 2020)

Dynamic Regret of Policy Optimization in Non-Stationary Environments. - Yingjie Fei; Zhuoran Yang; Zhaoran Wang 001; Qiaomin Xie (NeurIPS, 2020)

Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. - Wanxin Jin; Zhaoran Wang 001; Zhuoran Yang; Shaoshuai Mou (NeurIPS, 2020)

Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach. - Luofeng Liao; You-Lin Chen; Zhuoran Yang; Bo Dai 001; Mladen Kolar; Zhaoran Wang 001 (NeurIPS, 2020)

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. - Shuang Qiu; Xiaohan Wei; Zhuoran Yang; Jieping Ye; Zhaoran Wang 001 (NeurIPS, 2020)

Provably Efficient Neural GTD for Off-Policy Learning. - Hoi-To Wai; Zhuoran Yang; Zhaoran Wang 001; Mingyi Hong 001 (NeurIPS, 2020)

Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations. - Zhuoran Yang; Chi Jin 001; Zhaoran Wang 001; Mengdi Wang; Michael I. Jordan (NeurIPS, 2020)

Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory. - Yufeng Zhang 007; Qi Cai; Zhuoran Yang; Yongxin Chen; Zhaoran Wang 001 (NeurIPS, 2020)

Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. - Shuang Qiu; Xiaohan Wei; Zhuoran Yang; Jieping Ye; Zhaoran Wang 001 (CoRR, 2020)

Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate. - Yufeng Zhang 007; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2020)

Neural Certificates for Safe Control Policies. - Wanxin Jin; Zhaoran Wang 001; Zhuoran Yang; Shaoshuai Mou (CoRR, 2020)

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. - Luofeng Liao; You-Lin Chen; Zhuoran Yang; Bo Dai 001; Zhaoran Wang 001; Mladen Kolar (CoRR, 2020)

A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2020)

Understanding Implicit Regularization in Over-Parameterized Nonlinear Statistical Model. - Jianqing Fan; Zhuoran Yang; Mengxin Yu (CoRR, 2020)

Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. - Shuang Qiu; Zhuoran Yang; Xiaohan Wei; Jieping Ye; Zhaoran Wang 001 (CoRR, 2020)

Provable Fictitious Play for General Mean-Field Games. - Qiaomin Xie; Zhuoran Yang; Zhaoran Wang 001; Andreea Minca (CoRR, 2020)

Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations. - Zhuoran Yang; Chi Jin 001; Zhaoran Wang 001; Mengdi Wang; Michael I. Jordan (CoRR, 2020)

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization. - Zhuoran Yang; Yufeng Zhang 007; Yongxin Chen; Zhaoran Wang 001 (CoRR, 2020)

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy. - Han Zhong 001; Ethan X. Fang; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2020)

A Novel Model Integrating Deep Learning for Land Use/Cover Change Reconstruction: A Case Study of Zhenlai County, Northeast China. - Yubo Zhang; Zhuoran Yang; Jiuchun Yang; Yuanyuan Yang; Dongyan Wang; Yucong Zhang; Fengqin Yan; Lingxue Yu; Liping Chang; Shuwen Zhang (Remote. Sens., 2020)

Provably Efficient Safe Exploration via Primal-Dual Policy Optimization. - Dongsheng Ding; Xiaohan Wei; Zhuoran Yang; Zhaoran Wang 001; Mihailo R. Jovanovic (AISTATS, 2021)

Sample Elicitation. - Jiaheng Wei; Zuyue Fu; Yang Liu 018; Xingyu Li; Zhuoran Yang; Zhaoran Wang 001 (AISTATS, 2021)

Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case. - Yufeng Zhang 007; Zhuoran Yang; Zhaoran Wang 001 (AISTATS, 2021)

Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy. - Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (ICLR, 2021)

Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach. - Yingjie Fei; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. - Hongyi Guo; Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Randomized Exploration in Reinforcement Learning with General Value Function Approximation. - Haque Ishfaq; Qiwen Cui; Viet Nguyen; Alex Ayoub; Zhuoran Yang; Zhaoran Wang 001; Doina Precup; Lin Yang 011 (ICML, 2021)

Is Pessimism Provably Efficient for Offline RL? - Ying Jin; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport. - Lewis Liu; Yufeng Zhang 007; Zhuoran Yang; Reza Babanezhad 001; Zhaoran Wang 001 (ICML, 2021)

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. - Shuang Qiu; Xiaohan Wei; Jieping Ye; Zhaoran Wang 001; Zhuoran Yang (ICML, 2021)

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. - Shuang Qiu; Jieping Ye; Zhaoran Wang 001; Zhuoran Yang (ICML, 2021)

Reinforcement Learning for Cost-Aware Markov Decision Processes. - Wesley Suttle; Kaiqing Zhang; Zhuoran Yang; Ji Liu 001; David N. Kraemer (ICML, 2021)

Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. - Weichen Wang; Jiequn Han; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Learning While Playing in Mean-Field Games: Convergence and Optimality. - Qiaomin Xie; Zhuoran Yang; Zhaoran Wang 001; Andreea Minca (ICML, 2021)

Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. - Tengyu Xu; Zhuoran Yang; Zhaoran Wang 001; Yingbin Liang (ICML, 2021)

Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. - Jingwei Zhang; Zhuoran Yang; Zhengyuan Zhou; Zhaoran Wang 001 (L4DC, 2021)

Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL. - Minshuo Chen; Yan Li 074; Ethan Wang; Zhuoran Yang; Zhaoran Wang 001; Tuo Zhao (NeurIPS, 2021)

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning. - Yingjie Fei; Zhuoran Yang; Yudong Chen 001; Zhaoran Wang 001 (NeurIPS, 2021)

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2021)

BooVI: Provably Efficient Bootstrapped Value Iteration. - Boyi Liu 001; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2021)

Provably Efficient Causal Reinforcement Learning with Confounded Observational Data. - Lingxiao Wang 003; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2021)

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. - Runzhe Wu; Yufeng Zhang 007; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2021)

Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic. - Yufeng Zhang 007; Siyu Chen 001; Zhuoran Yang; Michael I. Jordan; Zhaoran Wang 001 (NeurIPS, 2021)

A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization. - Prashant Khanduri; Siliang Zeng; Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2021)

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. - Luofeng Liao; Zuyue Fu; Zhuoran Yang; Mladen Kolar; Zhaoran Wang 001 (CoRR, 2021)

A Unified Off-Policy Evaluation Approach for General Value Function. - Tengyu Xu; Zhuoran Yang; Zhaoran Wang 001; Yingbin Liang (CoRR, 2021)

Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning. - Pratik Ramprasad; Yuantong Li; Zhuoran Yang; Zhaoran Wang 001; Will Wei Sun; Guang Cheng 003 (CoRR, 2021)

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. - Zhihan Liu; Yufeng Zhang 007; Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2021)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Finds Global Optima. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (CoRR, 2021)

Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs. - Han Zhong 001; Zhuoran Yang; Zhaoran Wang 001; Csaba Szepesvári (CoRR, 2021)

SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Zhaoran Wang 001; Jing Jiang 002 (CoRR, 2021)

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning. - Xiao-Yang Liu; Zechu Li; Zhuoran Yang; Jiahao Zheng 002; Zhaoran Wang 001; Anwar Walid; Jian Guo; Michael I. Jordan (CoRR, 2021)

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? - Han Zhong 001; Zhuoran Yang; Zhaoran Wang 001; Michael I. Jordan (CoRR, 2021)

Exponential Family Model-Based Reinforcement Learning via Score Matching. - Gene Li; Junbo Li 003; Nathan Srebro; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2021)

Generalized estimating equations for analyzing multivariate survival data. - Liya Fu; Zhuoran Yang; Jun Zhang; Anle Long; Yan Zhou (Commun. Stat. Simul. Comput., 2021)

Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis. - Liya Fu; Zhuoran Yang; Fengjing Cai; You-Gan Wang (Comput. Stat., 2021)

On Finite-Time Convergence of Actor-Critic Algorithm. - Shuang Qiu; Zhuoran Yang; Jieping Ye; Zhaoran Wang 001 (IEEE J. Sel. Areas Inf. Theory, 2021)

Decentralized multi-agent reinforcement learning with networked agents: recent advances. - Kaiqing Zhang; Zhuoran Yang; Tamer Basar (Frontiers Inf. Technol. Electron. Eng., 2021)

Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents. - Kaiqing Zhang; Zhuoran Yang; Han Liu 001; Tong Zhang 001; Tamer Basar (IEEE Trans. Autom. Control., 2021)

Gap-Dependent Bounds for Two-Player Markov Games. - Zehao Dou; Zhuoran Yang; Zhaoran Wang 001; Simon S. Du (AISTATS, 2022)

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Zhuoran Yang; Zhi-Hong Deng 002; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICLR, 2022)

Towards General Function Approximation in Zero-Sum Markov Games. - Baihe Huang; Jason D. Lee; Zhaoran Wang 001; Zhuoran Yang (ICLR, 2022)

Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory. - Zhi Zhang 012; Zhuoran Yang; Han Liu 001; Pratap Tokekar; Furong Huang (ICLR, 2022)

Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency. - Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Adaptive Model Design for Markov Decision Process. - Siyu Chen 001; Donglin Yang; Jiayang Li 001; Senmiao Wang; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation. - Xiaoyu Chen 008; Han Zhong 001; Zhuoran Yang; Zhaoran Wang 001; Liwei Wang 001 (ICML, 2022)

Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. - Hongyi Guo; Qi Cai; Yufeng Zhang 007; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. - Zhihan Liu; Miao Lu; Zhaoran Wang 001; Michael I. Jordan; Zhuoran Yang (ICML, 2022)

Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. - Zhihan Liu; Yufeng Zhang 007; Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning. - Boxiang Lyu; Zhaoran Wang 001; Mladen Kolar; Zhuoran Yang (ICML, 2022)

Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. - Shuang Qiu; Lingxiao Wang 003; Chenjia Bai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets. - Han Zhong 001; Wei Xiong 015; Jiyuan Tan; Liwei Wang 001; Tong Zhang 001; Zhaoran Wang 001; Zhuoran Yang (ICML, 2022)

Exponential Family Model-Based Reinforcement Learning via Score Matching. - Gene Li; Junbo Li 003; Anmol Kabra; Nati Srebro; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2022)

Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence. - Boyi Liu 001; Jiayang Li 001; Zhuoran Yang; Hoi-To Wai; Mingyi Hong 001; Yu Marco Nie; Zhaoran Wang 001 (NeurIPS, 2022)

Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets. - Yifei Min; Tianhao Wang 002; Ruitu Xu; Zhaoran Wang 001; Michael I. Jordan; Zhuoran Yang (NeurIPS, 2022)

Reinforcement Learning with Logarithmic Regret and Policy Switches. - Grigoris Velegkas; Zhuoran Yang; Amin Karbasi (NeurIPS, 2022)

A Unifying Framework of Off-Policy General Value Function Evaluation. - Tengyu Xu; Zhuoran Yang; Zhaoran Wang 001; Yingbin Liang (NeurIPS, 2022)

Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL. - Fengzhuo Zhang; Boyi Liu 001; Kaixin Wang; Vincent Y. F. Tan; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2022)

Accelerate online reinforcement learning for building HVAC control with heterogeneous expert guidances. - Shichao Xu; Yangyang Fu; Yixuan Wang 001; Zhuoran Yang; Zheng O'Neill; Zhaoran Wang 001; Qi Zhu 002 (BuildSys, 2022)

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning. - Jibang Wu; Zixuan Zhang; Zhe Feng 004; Zhaoran Wang 001; Zhuoran Yang; Michael I. Jordan; Haifeng Xu (EC, 2022)

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. - Yixuan Wang 001; Chao Huang 015; Zhaoran Wang 001; Zhuoran Yang; Qi Zhu 002 (CoRR, 2022)

Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach. - Boxiang Lyu; Qinglin Meng; Shuang Qiu; Zhaoran Wang 001; Zhuoran Yang; Michael I. Jordan (CoRR, 2022)

The Best of Both Worlds: Reinforcement Learning with Logarithmic Regret and Policy Switches. - Grigoris Velegkas; Zhuoran Yang; Amin Karbasi (CoRR, 2022)

Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations. - Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2022)

Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2022)

Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. - Mengxin Yu; Zhuoran Yang; Jianqing Fan (CoRR, 2022)

Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes. - Zuyue Fu; Zhengling Qi; Zhaoran Wang 001; Zhuoran Yang; Yanxun Xu; Michael R. Kosorok (CoRR, 2022)

A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design. - Rui Ai 002; Boxiang Lyu; Zhaoran Wang 001; Zhuoran Yang; Michael I. Jordan (CoRR, 2022)

GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond. - Han Zhong 001; Wei Xiong 015; Sirui Zheng; Liwei Wang 001; Zhaoran Wang 001; Zhuoran Yang; Tong Zhang 001 (CoRR, 2022)

Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality. - Ying Jin; Zhimei Ren; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2022)

Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. - Zuyue Fu; Zhengling Qi; Zhuoran Yang; Zhaoran Wang 001; Lan Wang (CoRR, 2022)

Offline Policy Optimization in RL with Variance Regularizaton. - Riashat Islam; Samarth Sinha; Homanga Bharadhwaj; Samin Yeasar Arnob; Zhuoran Yang; Animesh Garg; Zhaoran Wang 001; Lihong Li; Doina Precup (CoRR, 2022)

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. - Ruitu Xu; Yifei Min; Tianhao Wang 002; Michael I. Jordan; Zhaoran Wang 001; Zhuoran Yang (AISTATS, 2023)

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning. - Yixuan Wang 001; Simon Sinong Zhan; Zhilu Wang; Chao Huang 015; Zhaoran Wang 001; Zhuoran Yang; Qi Zhu 002 (ICCPS, 2023)

Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency. - Lingxiao Wang 003; Qi Cai; Zhuoran Yang; Zhaoran Wang 001 (ICLR, 2023)

Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes. - Miao Lu; Yifei Min; Zhaoran Wang 001; Zhuoran Yang (ICLR, 2023)

Can We Find Nash Equilibria at a Linear Rate in Markov Games? - Zhuoqing Song; Jason D. Lee; Zhuoran Yang (ICLR, 2023)

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. - Haoran Xu 003; Li Jiang 008; Jianxiong Li; Zhuoran Yang; Zhaoran Wang 001; Wai Kin Victor Chan; Xianyuan Zhan (ICLR, 2023)

Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games. - Wenhao Zhan; Jason D. Lee; Zhuoran Yang (ICLR, 2023)

Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics. - Sirui Zheng; Lingxiao Wang 003; Shuang Qiu; Zuyue Fu; Zhuoran Yang; Csaba Szepesvári; Zhaoran Wang 001 (ICLR, 2023)

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. - Yixuan Wang 001; Simon Sinong Zhan; Ruochen Jiao; Zhilu Wang; Wanxin Jin; Zhuoran Yang; Zhaoran Wang 001; Chao Huang 015; Qi Zhu 002 (ICML, 2023)

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. - Yulai Zhao 002; Zhuoran Yang; Zhaoran Wang 001; Jason D. Lee (ICML, 2023)

Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model. - Siyu Chen 001; Jibang Wu; Yifan Wu; Zhuoran Yang (ICML, 2023)

Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP. - Jiacheng Guo; Zihao Li; Huazheng Wang; Mengdi Wang; Zhuoran Yang; Xuezhou Zhang (ICML, 2023)

Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. - Dongsheng Ding; Xiaohan Wei; Zhuoran Yang; Zhaoran Wang 001; Mihailo R. Jovanovic (L4DC, 2023)

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. - Haoran He; Chenjia Bai; Kang Xu; Zhuoran Yang; Weinan Zhang 001; Dong Wang 028; Bin Zhao 001; Xuelong Li 001 (NeurIPS, 2023)

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (NeurIPS, 2023)

Posterior Sampling for Competitive RL: Function Approximation and Partial Observation. - Shuang Qiu; Ziyu Dai; Han Zhong 001; Zhaoran Wang 001; Zhuoran Yang; Tong Zhang 001 (NeurIPS, 2023)

Learning Regularized Monotone Graphon Mean-Field Games. - Fengzhuo Zhang; Vincent Y. F. Tan; Zhaoran Wang 001; Zhuoran Yang (NeurIPS, 2023)

Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games. - Zihan Zhu; Ethan X. Fang; Zhuoran Yang (NeurIPS, 2023)

The Sample Complexity of Online Contract Design. - Banghua Zhu; Stephen Bates; Zhuoran Yang; Yixin Wang 002; Jiantao Jiao; Michael I. Jordan (EC, 2023)

Partial Discharge Characteristics and Growth Stage Recognition of Electrical Tree in XLPE Insulation. - Zhuoran Yang; Yuan Gao; Jingfang Deng; Lixiang Lv (IEEE Access, 2023)

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning. - Ruitu Xu; Yifei Min; Tianhao Wang 002; Zhaoran Wang 001; Michael I. Jordan; Zhuoran Yang (CoRR, 2023)

A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations. - Siyu Chen 001; Yitan Wang; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2023)

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. - Zhihan Liu; Miao Lu; Wei Xiong 015; Han Zhong 001; Hao Hu; Shenao Zhang; Sirui Zheng; Zhuoran Yang; Zhaoran Wang 001 (CoRR, 2023)

Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism. - Zihao Li; Zhuoran Yang; Mengdi Wang (CoRR, 2023)

Contextual Dynamic Pricing with Strategic Buyers. - Pangpang Liu; Zhuoran Yang; Zhaoran Wang 001; Will Wei Sun (CoRR, 2023)

Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks. - Siyu Chen 001; Mengdi Wang; Zhuoran Yang (CoRR, 2023)

Learning Regularized Graphon Mean-Field Games with Unknown Graphons. - Fengzhuo Zhang; Vincent Y. F. Tan; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2023)

Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. - Jianqing Fan; Zhaoran Wang 001; Zhuoran Yang; Chenlu Ye (CoRR, 2023)

Empowering Autonomous Driving with Large Language Models: A Safety Perspective. - Yixuan Wang 001; Ruochen Jiao; Chengtian Lang; Simon Sinong Zhan; Chao Huang 015; Zhaoran Wang 001; Zhuoran Yang; Qi Zhu 002 (CoRR, 2023)

Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers? - Han Zhong 001; Zhuoran Yang; Zhaoran Wang 001; Michael I. Jordan (J. Mach. Learn. Res., 2023)

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning. - Zihao Li; Boyi Liu 001; Zhuoran Yang; Zhaoran Wang 001; Mengdi Wang (J. Mach. Learn. Res., 2023)

Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium. - Qiaomin Xie; Yudong Chen 001; Zhaoran Wang 001; Zhuoran Yang (Math. Oper. Res., 2023)

A Two-Timescale Stochastic Algorithm Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic. - Mingyi Hong 001; Hoi-To Wai; Zhaoran Wang 001; Zhuoran Yang (SIAM J. Optim., 2023)

Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust. - Nikola Banovic 001; Zhuoran Yang; Aditya Ramesh; Alice Liu (Proc. ACM Hum. Comput. Interact., 2023)

Provably Efficient Reinforcement Learning with Linear Function Approximation. - Chi Jin 001; Zhuoran Yang; Zhaoran Wang 001; Michael I. Jordan (Math. Oper. Res., 2023)

Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract). - Siyu Chen 001; Heejune Sheen; Tianhao Wang 002; Zhuoran Yang (COLT, 2024)

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation. - Jianliang He; Han Zhong; Zhuoran Yang (ICLR, 2024)

Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. - Juno Kim; Kakei Yamamoto; Kazusato Oko; Zhuoran Yang; Taiji Suzuki (ICLR, 2024)

Sample-Efficient Multi-Agent RL: An Optimization Perspective. - Nuoya Xiong; Zhihan Liu; Zhaoran Wang 001; Zhuoran Yang (ICLR, 2024)

Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling. - Zehao Dou; Minshuo Chen; Mengdi Wang; Zhuoran Yang (ICML, 2024)

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems. - Jianliang He; Siyu Chen 001; Fengzhuo Zhang; Zhuoran Yang (ICML, 2024)

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF. - Han Shen; Zhuoran Yang; Tianyi Chen (ICML, 2024)

A General Framework for Sequential Decision-Making under Adaptivity Constraints. - Nuoya Xiong; Zhaoran Wang 001; Zhuoran Yang (ICML, 2024)

Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning. - Kakei Yamamoto; Kazusato Oko; Zhuoran Yang; Taiji Suzuki (ICML, 2024)

How Does Goal Relabeling Improve Sample Efficiency? - Sirui Zheng; Chenjia Bai; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2024)

On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games. - Awni Altabaa; Zhuoran Yang (NeurIPS, 2024)

Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers. - Siyu Chen 001; Heejune Sheen; Tianhao Wang 002; Zhuoran Yang (NeurIPS, 2024)

Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality. - Siyu Chen 001; Heejune Sheen; Tianhao Wang 002; Zhuoran Yang (CoRR, 2024)

Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory. - Hengyu Fu; Zhuoran Yang; Mengdi Wang; Minshuo Chen (CoRR, 2024)

A Mean-Field Analysis of Neural Gradient Descent-Ascent: Applications to Functional Conditional Moment Equations. - Yuchen Zhu; Yufeng Zhang 007; Zhaoran Wang 001; Zhuoran Yang; Xiaohong Chen (CoRR, 2024)

STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. - Chuanhao Li; Runhan Yang; Tiankai Li; Milad Bafarassat; Kourosh Sharifi; Dirk Bergemann; Zhuoran Yang (CoRR, 2024)

Provable Statistical Rates for Consistency Diffusion Models. - Zehao Dou; Minshuo Chen; Mengdi Wang; Zhuoran Yang (CoRR, 2024)

Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods. - Xinyang Hu; Fengzhuo Zhang; Siyu Chen 001; Zhuoran Yang (CoRR, 2024)

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? - Kaixiong Gong; Kaituo Feng; Bohao Li; Yibing Wang; Mofan Cheng; Shijia Yang; Jiaming Han; Benyou Wang; Yutong Bai; Zhuoran Yang; Xiangyu Yue 001 (CoRR, 2024)

Physical Informed Driving World Model. - Zhuoran Yang; Xi Guo; Chenjing Ding; Chiyu Wang; Wei Wu 021 (CoRR, 2024)

Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory. - Xingyao Li; Fengzhuo Zhang; Jiachun Pan; Yunlong Hou 001; Vincent Y. F. Tan; Zhuoran Yang (CoRR, 2024)

An Instrumental Value for Data Production and its Application to Data Pricing. - Rui Ai 002; Boxiang Lyu; Zhaoran Wang 001; Zhuoran Yang; Haifeng Xu (CoRR, 2024)

Neural Temporal Difference and Q Learning Provably Converge to Global Optima. - Qi Cai; Zhuoran Yang; Jason D. Lee; Zhaoran Wang 001 (Math. Oper. Res., 2024)

Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. - Chenjia Bai; Lingxiao Wang 003; Jianye Hao; Zhuoran Yang; Bin Zhao 001; Zhen Wang 004; Xuelong Li 001 (Artif. Intell., 2024)

False Correlation Reduction for Offline Reinforcement Learning. - Zhihong Deng 002; Zuyue Fu; Lingxiao Wang 003; Zhuoran Yang; Chenjia Bai; Tianyi Zhou 001; Zhaoran Wang 001; Jing Jiang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Task Representations from In-Context Learning. - Baturay Saglam; Xinyang Hu; Zhuoran Yang; Dionysis Kalogerias; Amin Karbasi (ACL (Findings), 2025)

What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization. - Yufeng Zhang 007; Fengzhuo Zhang; Zhuoran Yang; Zhaoran Wang 001 (AISTATS, 2025)

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model. - Siyu Chen 001; Beining Wu; Miao Lu; Zhuoran Yang; Tianhao Wang 002 (ICLR, 2025)

Multi-Channel Deep Pulse-Coupled Net: A Novel Bearing Fault Diagnosis Framework. - Yanxi Wu; Yalin Yang; Zhuoran Yang; Zhizhuo Yu; Jing Lian 001; Bin Li; Jizhao Liu; Kaiyuan Yang 002 (IET Image Process., 2025)

Learning Task Representations from In-Context Learning. - Baturay Saglam; Zhuoran Yang; Dionysis Kalogerias; Amin Karbasi (CoRR, 2025)

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling. - Han Qi; Haochen Yang; Qiaosheng Zhang; Zhuoran Yang (CoRR, 2025)

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization. - Xuefeng Liu; Songhao Jiang; Siyu Chen; Zhuoran Yang; Yuxin Chen 001; Ian T. Foster; Rick Stevens (CoRR, 2025)

Active Advantage-Aligned Online Reinforcement Learning with Offline Data. - Xuefeng Liu; Hung T. C. Le; Siyu Chen; Rick Stevens; Zhuoran Yang; Matthew R. Walter; Yuxin Chen 001 (CoRR, 2025)

Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation. - Yunhai Feng; Jiaming Han; Zhuoran Yang; Xiangyu Yue 001; Sergey Levine; Jianlan Luo (CoRR, 2025)

Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning. - Zhiyu Mou; Miao Xu; Rongquan Bai; Zhuoran Yang; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework. - Jing Wang 060; Fengzhuo Zhang; Xiaoli Li 001; Vincent Y. F. Tan; Tianyu Pang; Chao Du; Aixin Sun; Zhuoran Yang (CoRR, 2025)

In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention. - Jianliang He; Xintian Pan; Siyu Chen; Zhuoran Yang (CoRR, 2025)

LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. - Zhuoran Yang; Jie Peng 002; Zhen Tan 001; Tianlong Chen 001; Yanyong Zhang (CoRR, 2025)

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving. - Shumin Wang; Zhuoran Yang; Lidian Wang; Zhipeng Tang; Heng Li; Lehan Pan; Sha Zhang 002; Jie Peng 002; Jianmin Ji; Yanyong Zhang (CoRR, 2025)

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms. - Yunlong Hou 001; Fengzhuo Zhang; Cunxiao Du; Xuan Zhang; Jiachun Pan; Tianyu Pang; Chao Du; Vincent Y. F. Tan; Zhuoran Yang (CoRR, 2025)

Quantile-Optimal Policy Learning under Unmeasured Confounding. - Zhongren Chen; Siyu Chen; Zhengling Qi; Xiaohong Chen; Zhuoran Yang (CoRR, 2025)

Learning to Lead: Incentivizing Strategic Agents in the Dark. - Yuchen Wu; Xinyi Zhong; Zhuoran Yang (CoRR, 2025)

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability. - Jiachen Hu; Rui Ai 002; Han Zhong 001; Xiaoyu Chen 008; Liwei Wang 001; Zhaoran Wang 001; Zhuoran Yang (CoRR, 2025)

Taming Polysemanticity in LLMs: Provable Feature Recovery via Sparse Autoencoders. - Siyu Chen 001; Heejune Sheen; Xuyuan Xiong; Tianhao Wang 002; Zhuoran Yang (CoRR, 2025)

Kwai Keye-VL Technical Report. - Kwai Keye Team; Biao Yang; Bin Wen; Changyi Liu; Chenglong Chu; Chengru Song; Chongling Rao; Chuan Yi; Da Li 003; Dunju Zang; Fan Yang 094; Guorui Zhou; et al. (CoRR, 2025)