Ying, Lei

25 publications

NeurIPS 2025 Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits Through Gaussian Approximation Chen Yan, Weina Wang, Lei Ying

NeurIPS 2025 Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets Zixian Yang, Sushil Mahavir Varma, Lei Ying

ICLR 2025 Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback Without Reward Inference Qining Zhang, Lei Ying

AAAI 2024 Deep Reinforcement Learning for Early Diagnosis of Lung Cancer Yifan Wang, Qining Zhang, Lei Ying, Chuan Zhou

JMLR 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment Zixian Yang, Xin Liu, Lei Ying

ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

AAAI 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration Honghao Wei, Xin Liu, Lei Ying

NeurIPS 2023 Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms Qining Zhang, Lei Ying

AISTATS 2023 Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB Zixian Yang, R. Srikant, Lei Ying

NeurIPSW 2023 Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs Zihan Zhou, Honghao Wei, Lei Ying

ICML 2023 On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures Xian Yu, Lei Ying

ICML 2023 Online Nonstochastic Control with Adversarial and Static Constraints Xin Liu, Zixian Yang, Lei Ying

AISTATS 2023 Provably Efficient Model-Free Algorithms for Non-Stationary CMDPs Honghao Wei, Arnob Ghosh, Ness Shroff, Lei Ying, Xingyu Zhou

NeurIPS 2023 Sample Efficient Reinforcement Learning in Mixed Systems Through Augmented Samples and Its Applications to Queueing Networks Honghao Wei, Xin Liu, Weina Wang, Lei Ying

AISTATS 2022 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation Honghao Wei, Xin Liu, Lei Ying

AAAI 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes Honghao Wei, Xin Liu, Lei Ying

AAAI 2022 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying

NeurIPS 2022 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying

NeurIPS 2022 Will Bilevel Optimizers Benefit from Loops Kaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying

NeurIPS 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints Xin Liu, Bin Li, Pengyi Shi, Lei Ying

NeurIPS 2020 The Mean-Squared Error of Double Q-Learning Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant

COLT 2019 Finite-Time Error Bounds for Linear Stochastic Approximation andTD Learning R. Srikant, Lei Ying

NeurIPS 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning Harsh Gupta, R. Srikant, Lei Ying

AAAI 2017 Catch'Em All: Locating Multiple Diffusion Sources in Networks with Partial Observations Kai Zhu, Zhen Chen, Lei Ying

MLJ 2014 Collaborative Filtering with Information-Rich and Information-Sparse Entities Kai Zhu, Rui Wu, Lei Ying, R. Srikant