Jincheng Mei
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. | Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai |
| 2025 | ICLR | Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. | Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai |
| 2024 | ICML | Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. | Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans |
| 2023 | ICML | Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. | Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Mnard, Mohammad Gheshlaghi Azar, Rmi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvri, Wataru Kumagai, Yutaka Matsuo |
| 2023 | ICML | Stochastic Gradient Succeeds for Bandits. | Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvri, Dale Schuurmans |
| 2022 | ICLR | Understanding and Leveraging Overparameterization in Recursive Value Estimation. | Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans |
| 2022 | UAI | Understanding and mitigating the limitations of prioritized experience replay. | Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo |
| 2021 | ICML | Leveraging Non-uniformity in First-order Non-convex Optimization. | Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvri, Dale Schuurmans |
| 2021 | ICML | On the Optimality of Batch Policy Optimization Algorithms. | Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvri, Dale Schuurmans |
| 2020 | ICLR | Frequency-based Search-control in Dyna. | Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand |
| 2020 | ICML | On the Global Convergence Rates of Softmax Policy Gradient Methods. | Jincheng Mei, Chenjun Xiao, Csaba Szepesvri, Dale Schuurmans |
| 2019 | IJCAI | On Principled Entropy Exploration in Policy Optimization. | Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Mller |
| 2018 | AAAI | Memory-Augmented Monte Carlo Tree Search. | Chenjun Xiao, Jincheng Mei, Martin Mller |
| 2017 | EMNLP | Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. | Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen |
| 2016 | AISTATS | On the Reducibility of Submodular Functions. | Jincheng Mei, Hao Zhang, Bao-Liang Lu |
| 2016 | SIGIR | Discovering Author Interest Evolution in Topic Modeling. | Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu |
| 2015 | AAAI | On Unconstrained Quasi-Submodular Function Optimization. | Jincheng Mei, Kang Zhao, Bao-Liang Lu |
| 2014 | AAAI | Locality Preserving Hashing. | Kang Zhao, Hongtao Lu, Jincheng Mei |
| 2014 | ICONIP | Saliency Level Set Evolution. | Jincheng Mei, Bao-Liang Lu |