Qiaomin Xie - RankMe

99 papers A* 23A 4B 2Journal 60Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	C-kNN-LSH: A Nearest-Neighbor Algorithm for Sequential Counterfactual Inference. CoRR Jing Wang, Jie Shen, Qiaomin Xie, Jeremy C. Weiss
2026	J	`jnl`	Immunological Density Shapes Recovery Trajectories in Long COVID. CoRR Jing Wang, Tong Zhang, Xing Niu, Jie Shen, Yiming Luo, Qiaomin Xie, Amar Sra, Zorina Galis, Jeremy C. Weiss
2026	J	`jnl`	LLM-Augmented Computational Phenotyping of Long Covid. CoRR Jing Wang, Jie Shen, Amar Sra, Qiaomin Xie, Jeremy C. Weiss
2026	J	`jnl`	On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization. CoRR Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
2026	J	`jnl`	Predicting Trajectories of Long COVID in Adult Women: The Critical Role of Causal Disentanglement. CoRR Jing Wang, Jie Shen, Yiming Luo, Amar Sra, Qiaomin Xie, Jeremy C. Weiss
2026	J	`jnl`	Wasserstein-p Central Limit Theorem Rates: From Local Dependence to Markov Chains. CoRR Yixuan Zhang, Qiaomin Xie
2025	—	`conf`	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. SIGMETRICS (Abstracts) Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2025	J	`jnl`	A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression. CoRR Yixuan Zhang, Dongyan Huo, Yudong Chen, Qiaomin Xie
2025	J	`jnl`	Contextual Online Pricing with (Biased) Offline Data. CoRR Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
2025	A*	`conf`	Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent. AAAI Xiang Li, Qiaomin Xie
2025	J	`jnl`	Optimally Installing Strict Equilibria. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2025	A*	`conf`	Stable Offline Value Function Learning with Bisimulation-based Representations. ICML Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2025	A	`conf`	Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. AISTATS Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation. RLJ Yixuan Zhang, Qiaomin Xie
2024	J	`jnl`	Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation. CoRR Yixuan Zhang, Qiaomin Xie
2024	J	`jnl`	Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent. CoRR Xiang Li, Qiaomin Xie
2024	A*	`conf`	Data Poisoning to Fake a Nash Equilibria for Markov Games. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. AAAI Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. AAAI Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. RLJ Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces. ICML Brahma S. Pavse, Matthew Zurek, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	A*	`conf`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. ICML Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	—	`conf`	Near-Optimal Stochastic Bin-Packing in Large Service Systems with Time-Varying Item Sizes. SIGMETRICS/Performance (Abstracts) Yige Hong, Qiaomin Xie, Weina Wang
2024	A*	`conf`	Optimal Attack and Defense for Reinforcement Learning. AAAI Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2024	—	`conf`	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. SIGMETRICS/Performance (Abstracts) Yixuan Zhang, Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA. CoRR Yixuan Zhang, Dongyan Huo, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak
2024	A*	`conf`	Roping in Uncertainty: Robustness and Regularization in Markov Games. ICML Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie
2024	J	`jnl`	Roping in Uncertainty: Robustness and Regularization in Markov Games. CoRR Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie
2024	A	`conf`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2024	J	`jnl`	Stable Offline Value Function Learning with Bisimulation-based Representations. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2024	A	`conf`	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. AISTATS Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie
2024	A*	`conf`	The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize. NeurIPS Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize. CoRR Dongyan Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way. CoRR Jeongyeol Kwon, Luke Dotson, Yudong Chen, Qiaomin Xie
2024	J	`jnl`	Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits. CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2024	J	`jnl`	When is exponential asymptotic optimality achievable in average-reward restless bandits? CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	—	`conf`	Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. SIGMETRICS (Abstracts) Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie
2023	A	`conf`	Distributed Threshold-Based Offloading for Heterogeneous Mobile Edge Computing. ICDCS Xudong Qin, Qiaomin Xie, Bin Li
2023	J	`jnl`	Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. CoRR Dongyan Huo, Yudong Chen, Qiaomin Xie
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	J	`jnl`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. CoRR Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2023	A*	`conf`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	J	`jnl`	Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak
2023	J	`jnl`	Near-Optimal Stochastic Bin-Packing in Large Service Systems with Time-Varying Item Sizes. Proc. ACM Meas. Anal. Comput. Syst. Yige Hong, Qiaomin Xie, Weina Wang
2023	J	`jnl`	On Faking a Nash Equilibrium. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Optimal Attack and Defense for Reinforcement Learning. CoRR Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Reinforcement Learning for SBM Graphon Games with Re-Sampling. CoRR Peihan Huo, Oscar Peralta, Junyu Guo, Qiaomin Xie, Andreea Minca
2023	A*	`conf`	Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. NeurIPS Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	J	`jnl`	Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. CoRR Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang
2023	A*	`conf`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak
2023	A*	`conf`	Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes. COLT Zihan Zhang, Qiaomin Xie
2023	J	`jnl`	Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes. CoRR Zihan Zhang, Qiaomin Xie
2023	J	`jnl`	Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. CoRR Emmanouil V. Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie
2023	J	`jnl`	Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning. CoRR Brahma S. Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna
2023	J	`jnl`	VISER: A Tractable Solution Concept for Games with Information Asymmetry. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2022	J	`jnl`	Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. CoRR Dongyan Huo, Yudong Chen, Qiaomin Xie
2022	J	`jnl`	Maximizing Utilization under Time-Varying Resource Requirements. CoRR Yige Hong, Qiaomin Xie, Weina Wang
2022	J	`jnl`	Nonasymptotic Analysis of Monte Carlo Tree Search. Oper. Res. Devavrat Shah, Qiaomin Xie, Zhi Xu
2022	J	`jnl`	ORSuite: Benchmarking Suite for Sequential Operations Models. SIGMETRICS Perform. Evaluation Rev. Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu
2022	J	`jnl`	RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. Bai Liu, Qiaomin Xie, Eytan H. Modiano
2022	J	`jnl`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2021	J	`jnl`	Corrigendum: Greed Works - Online Algorithms for Unrelated Machine Stochastic Scheduling. Math. Oper. Res. Varun Gupta, Benjamin Moseley, Marc Uetz, Qiaomin Xie
2021	A*	`conf`	Learning While Playing in Mean-Field Games: Convergence and Optimality. ICML Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2021	—	`conf`	Zero Queueing for Multi-Server Jobs. SIGMETRICS (Abstracts) Weina Wang, Qiaomin Xie, Mor Harchol-Balter
2021	J	`jnl`	Zero Queueing for Multi-Server Jobs. Proc. ACM Meas. Anal. Comput. Syst. Weina Wang, Qiaomin Xie, Mor Harchol-Balter
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	J	`jnl`	Greed Works - Online Algorithms for Unrelated Machine Stochastic Scheduling. Math. Oper. Res. Varun Gupta, Benjamin Moseley, Marc Uetz, Qiaomin Xie
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	—	`conf`	Non-Asymptotic Analysis of Monte Carlo Tree Search. SIGMETRICS (Abstracts) Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	—	`conf`	On Reinforcement Learning for Turn-based Zero-sum Markov Games. FODS Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	On Reinforcement Learning for Turn-based Zero-sum Markov Games. CoRR Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020	A*	`conf`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. NeurIPS Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2020	J	`jnl`	POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis. CoRR Weichao Mao, Kaiqing Zhang, Qiaomin Xie, Tamer Basar
2020	J	`jnl`	Provable Fictitious Play for General Mean-Field Games. CoRR Qiaomin Xie, Zhuoran Yang, Zhaoran Wang, Andreea Minca
2020	J	`jnl`	RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems. CoRR Bai Liu, Qiaomin Xie, Eytan H. Modiano
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	—	`conf`	Stable Reinforcement Learning with Unbounded State Space. L4DC Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	Stable Reinforcement Learning with Unbounded State Space. CoRR Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	Zero Queueing for Multi-Server Jobs. CoRR Weina Wang, Qiaomin Xie, Mor Harchol-Balter
2019	J	`jnl`	On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis. CoRR Devavrat Shah, Qiaomin Xie, Zhi Xu
2019	—	`conf`	Reinforcement Learning for Optimal Control of Queueing Systems. Allerton Bai Liu, Qiaomin Xie, Eytan H. Modiano
2018	A*	`conf`	Q-learning with Nearest Neighbors. NeurIPS Devavrat Shah, Qiaomin Xie
2018	J	`jnl`	Q-learning with Nearest Neighbors. CoRR Devavrat Shah, Qiaomin Xie
2017	J	`jnl`	Centralized Congestion Control and Scheduling in a Datacenter. CoRR Devavrat Shah, Qiaomin Xie
2017	J	`jnl`	Pandas: Robust Locality-Aware Scheduling With Stochastic Delay Optimality. IEEE/ACM Trans. Netw. Qiaomin Xie, Mayank Pundir, Yi Lu, Cristina L. Abad, Roy H. Campbell
2017	B	`conf`	Stochastic Online Scheduling on Unrelated Machines. IPCO Varun Gupta, Benjamin Moseley, Marc Uetz, Qiaomin Xie
2017	J	`jnl`	Stochastic Online Scheduling on Unrelated Machines. CoRR Varun Gupta, Benjamin Moseley, Marc Uetz, Qiaomin Xie
2016	—	`—`	Scheduling and resource allocation for clouds: novel algorithms, state space collapse and decay of tails Qiaomin Xie
2016	A*	`conf`	Scheduling with multi-level data locality: Throughput and heavy-traffic optimality. INFOCOM Qiaomin Xie, Ali Yekkehkhany, Yi Lu
2015	A*	`conf`	Power of SIGMETRICS Qiaomin Xie, Xiaobo Dong, Yi Lu, Rayadurgam Srikant
2015	A*	`conf`	Priority algorithm for near-data scheduling: Throughput and heavy-traffic optimality. INFOCOM Qiaomin Xie, Yi Lu
2012	B	`conf`	Degree-guided map-reduce task assignment with data locality constraint. ISIT Qiaomin Xie, Yi Lu
2011	J	`jnl`	Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web services. Perform. Evaluation Yi Lu, Qiaomin Xie, Gabriel Kliot, Alan Geller, James R. Larus, Albert G. Greenberg