Jincheng Mei

47 papers A* 22A 3Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Expectations: Learning with Stochastic Dominance Made Practical.
Trans. Mach. Learn. Res.
Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2025 A conf
Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment.
AISTATS
Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2025 J jnl
Ordering-based Conditions for Global Convergence of Policy Gradient Methods.
CoRR
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
2025 J jnl
Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation.
CoRR
Max Qiushi Lin, Jincheng Mei, Matin Aghaei, Michael Lu, Bo Dai, Alekh Agarwal, Dale Schuurmans, Csaba Szepesvári, Sharan Vaswani
2025 J jnl
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates.
CoRR
Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans
2025 A* conf
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF.
ICLR
Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2024 J jnl
Beyond Expectations: Learning with Stochastic Dominance Made Practical.
CoRR
Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2024 J jnl
Faster WIND: Accelerating Iterative Best-of-
CoRR
Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2024 A* conf
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates.
NeurIPS
Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans
2024 J jnl
Stochastic Gradient Succeeds for Bandits.
CoRR
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2024 A* conf
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation.
ICML
Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans
2024 J jnl
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation.
CoRR
Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans
2024 J jnl
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF.
CoRR
Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2023 A* conf
Ordering-based Conditions for Global Convergence of Policy Gradient Methods.
NeurIPS
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
2023 A* conf
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.
ICML
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
2023 J jnl
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.
CoRR
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo
2023 A* conf
Stochastic Gradient Succeeds for Bandits.
ICML
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
2023 J jnl
The Role of Baselines in Policy Gradient Optimization.
CoRR
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2022 J jnl
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal.
CoRR
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári
2022 J jnl
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems.
CoRR
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022 A* conf
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games.
NeurIPS
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
2022 A* conf
The Role of Baselines in Policy Gradient Optimization.
NeurIPS
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2022 A* conf
Understanding and Leveraging Overparameterization in Recursive Value Estimation.
ICLR
Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans
2022 A conf
Understanding and mitigating the limitations of prioritized experience replay.
UAI
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
2021 A* conf
Leveraging Non-uniformity in First-order Non-convex Optimization.
ICML
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2021 J jnl
Leveraging Non-uniformity in First-order Non-convex Optimization.
CoRR
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
2021 A* conf
On the Optimality of Batch Policy Optimization Algorithms.
ICML
Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2021 J jnl
On the Optimality of Batch Policy Optimization Algorithms.
CoRR
Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2021 A* conf
Understanding the Effect of Stochasticity in Policy Optimization.
NeurIPS
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2021 J jnl
Understanding the Effect of Stochasticity in Policy Optimization.
CoRR
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2020 J jnl
Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities.
CoRR
Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
2020 A* conf
Escaping the Gravitational Pull of Softmax.
NeurIPS
Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, Dale Schuurmans
2020 A* conf
Frequency-based Search-control in Dyna.
ICLR
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020 J jnl
Frequency-based Search-control in Dyna.
CoRR
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
2020 A* conf
On the Global Convergence Rates of Softmax Policy Gradient Methods.
ICML
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2020 J jnl
On the Global Convergence Rates of Softmax Policy Gradient Methods.
CoRR
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
2019 A* conf
Maximum Entropy Monte-Carlo Planning.
NeurIPS
Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller
2019 A* conf
On Principled Entropy Exploration in Policy Optimization.
IJCAI
Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
2018 A* conf
Memory-Augmented Monte Carlo Tree Search.
AAAI
Chenjun Xiao, Jincheng Mei, Martin Müller
2017 A* conf
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters.
EMNLP
Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen
2016 A* conf
Discovering Author Interest Evolution in Topic Modeling.
SIGIR
Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu
2016 A conf
On the Reducibility of Submodular Functions.
AISTATS
Jincheng Mei, Hao Zhang, Bao-Liang Lu
2016 J jnl
On the Reducibility of Submodular Functions.
CoRR
Jincheng Mei, Hao Zhang, Bao-Liang Lu
2015 A* conf
On Unconstrained Quasi-Submodular Function Optimization.
AAAI
Jincheng Mei, Kang Zhao, Bao-Liang Lu
2014 A* conf
Locality Preserving Hashing.
AAAI
Kang Zhao, Hongtao Lu, Jincheng Mei
2014 — conf
Saliency Level Set Evolution.
ICONIP (2)
Jincheng Mei, Bao-Liang Lu
2014 J jnl
Unconstrained Quasi-Submodular Function Optimization.
CoRR
Jincheng Mei, Kang Zhao, Bao-Liang Lu