Jincheng Mei

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Locality Preserving

Monte Carlo Tree Search

Policy Gradient Methods

Submodular Functions

Top Venues

Publications

Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. CoRR (2024)
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
Stochastic Gradient Succeeds for Bandits. CoRR (2024)
Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR (2024)
Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR (2024)
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
The Role of Baselines in Policy Gradient Optimization. CoRR (2023)
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
Ordering-based Conditions for Global Convergence of Policy Gradient Methods. NeurIPS (2023)
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
Stochastic Gradient Succeeds for Bandits. ICML (2023)
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
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. CoRR (2023)
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
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. ICML (2023)
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans
The Role of Baselines in Policy Gradient Optimization. NeurIPS (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR (2022)
Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans
Understanding and Leveraging Overparameterization in Recursive Value Estimation. ICLR (2022)
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
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal. CoRR (2022)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
Understanding and mitigating the limitations of prioritized experience replay. UAI (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS (2022)
Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvári, Dale Schuurmans
On the Optimality of Batch Policy Optimization Algorithms. ICML (2021)
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
Understanding the Effect of Stochasticity in Policy Optimization. CoRR (2021)
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
Leveraging Non-uniformity in First-order Non-convex Optimization. CoRR (2021)
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans
Leveraging Non-uniformity in First-order Non-convex Optimization. ICML (2021)
Chenjun Xiao, Yifan Wu, Tor Lattimore, Bo Dai, Jincheng Mei, Lihong Li, Csaba Szepesvári, Dale Schuurmans
On the Optimality of Batch Policy Optimization Algorithms. CoRR (2021)
Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
Understanding the Effect of Stochasticity in Policy Optimization. NeurIPS (2021)
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
On the Global Convergence Rates of Softmax Policy Gradient Methods. CoRR (2020)
Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans
On the Global Convergence Rates of Softmax Policy Gradient Methods. ICML (2020)
Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao
Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities. CoRR (2020)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
Frequency-based Search-control in Dyna. ICLR (2020)
Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand
Frequency-based Search-control in Dyna. CoRR (2020)
Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, Dale Schuurmans
Escaping the Gravitational Pull of Softmax. NeurIPS (2020)
Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller
On Principled Entropy Exploration in Policy Optimization. IJCAI (2019)
Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller
Maximum Entropy Monte-Carlo Planning. NeurIPS (2019)
Chenjun Xiao, Jincheng Mei, Martin Müller
Memory-Augmented Monte Carlo Tree Search. AAAI (2018)
Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. EMNLP (2017)
Jincheng Mei, Hao Zhang, Bao-Liang Lu
On the Reducibility of Submodular Functions. AISTATS (2016)
Jincheng Mei, Hao Zhang, Bao-Liang Lu
On the Reducibility of Submodular Functions. CoRR (2016)
Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu
Discovering Author Interest Evolution in Topic Modeling. SIGIR (2016)
Jincheng Mei, Kang Zhao, Bao-Liang Lu
On Unconstrained Quasi-Submodular Function Optimization. AAAI (2015)
Kang Zhao, Hongtao Lu, Jincheng Mei
Locality Preserving Hashing. AAAI (2014)
Jincheng Mei, Bao-Liang Lu
Saliency Level Set Evolution. ICONIP (2) (2014)
Jincheng Mei, Kang Zhao, Bao-Liang Lu
Unconstrained Quasi-Submodular Function Optimization. CoRR (2014)