Jincheng Mei

According to our database, Jincheng Mei authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Faster WIND: Accelerating Iterative Best-of-<i>N</i> Distillation for LLM Alignment.

Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

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

CoRR, 2024

Beyond Expectations: Learning with Stochastic Dominance Made Practical.

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Ordering-based Conditions for Global Convergence of Policy Gradient Methods.

Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Gradient Succeeds for Bandits.

Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans

Proceedings of the International Conference on Machine Learning, 2023

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 Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo

Proceedings of the International Conference on Machine Learning, 2023

2022

KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal.

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

CoRR, 2022

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems.

Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li

CoRR, 2022

Understanding and mitigating the limitations of prioritized experience replay.

Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo

Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games.

Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Role of Baselines in Policy Gradient Optimization.

Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvári, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding and Leveraging Overparameterization in Recursive Value Estimation.

Chenjun Xiao, Bo Dai, Jincheng Mei, Oscar A. Ramirez, Ramki Gummadi, Chris Harris, Dale Schuurmans

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Understanding the Effect of Stochasticity in Policy Optimization.

Jincheng Mei, Bo Dai, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Optimality of Batch Policy Optimization Algorithms.

Chenjun Xiao, Yifan Wu, Jincheng Mei, Bo Dai, Tor Lattimore, Lihong Li, Csaba Szepesvári, Dale Schuurmans

Proceedings of the 38th International Conference on Machine Learning, 2021

Leveraging Non-uniformity in First-order Non-convex Optimization.

Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvári, Dale Schuurmans

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Beyond Prioritized Replay: Sampling States in Model-Based RL via Simulated Priorities.

Jincheng Mei, Yangchen Pan, Martha White, Amir-massoud Farahmand, Hengshuai Yao

CoRR, 2020

Escaping the Gravitational Pull of Softmax.

Jincheng Mei, Chenjun Xiao, Bo Dai, Lihong Li, Csaba Szepesvári, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Global Convergence Rates of Softmax Policy Gradient Methods.

Jincheng Mei, Chenjun Xiao, Csaba Szepesvári, Dale Schuurmans

Proceedings of the 37th International Conference on Machine Learning, 2020

Frequency-based Search-control in Dyna.

Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Maximum Entropy Monte-Carlo Planning.

Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Müller

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Principled Entropy Exploration in Policy Optimization.

Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Memory-Augmented Monte Carlo Tree Search.

Chenjun Xiao, Jincheng Mei, Martin Müller

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Discovering Author Interest Evolution in Topic Modeling.

Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

On the Reducibility of Submodular Functions.

Jincheng Mei, Hao Zhang, Bao-Liang Lu

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

On Unconstrained Quasi-Submodular Function Optimization.

Jincheng Mei, Kang Zhao, Bao-Liang Lu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Saliency Level Set Evolution.

Jincheng Mei, Bao-Liang Lu

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Locality Preserving Hashing.

Kang Zhao, Hongtao Lu, Jincheng Mei

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014