Kefan Dong - RankMe

28 papers A* 13Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving. ICML Kefan Dong, Tengyu Ma
2025	J	`jnl`	STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving. CoRR Kefan Dong, Tengyu Ma
2024	J	`jnl`	Formal Theorem Proving by Rewarding LLMs to Decompose Proofs Hierarchically. CoRR Kefan Dong, Arvind V. Mahankali, Tengyu Ma
2023	A*	`conf`	Asymptotic Instance-Optimal Algorithms for Interactive Decision Making. ICLR Kefan Dong, Tengyu Ma
2023	A*	`conf`	Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. NeurIPS Arvind V. Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma
2023	J	`jnl`	Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. CoRR Arvind V. Mahankali, Jeff Z. HaoChen, Kefan Dong, Margalit Glasgow, Tengyu Ma
2023	A*	`conf`	First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains. ICLR Kefan Dong, Tengyu Ma
2023	A*	`conf`	Model-Based Offline Reinforcement Learning with Local Misspecification. AAAI Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
2023	J	`jnl`	Model-based Offline Reinforcement Learning with Local Misspecification. CoRR Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
2023	J	`jnl`	Toward L CoRR Kefan Dong, Tengyu Ma
2023	A*	`conf`	Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields. COLT Kefan Dong, Tengyu Ma
2022	J	`jnl`	Asymptotic Instance-Optimal Algorithms for Interactive Decision Making. CoRR Kefan Dong, Tengyu Ma
2022	J	`jnl`	First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains. CoRR Kefan Dong, Tengyu Ma
2021	A*	`conf`	Design of Experiments for Stochastic Contextual Linear Bandits. NeurIPS Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
2021	J	`jnl`	Design of Experiments for Stochastic Contextual Linear Bandits. CoRR Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
2021	A*	`conf`	Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. NeurIPS Kefan Dong, Jiaqi Yang, Tengyu Ma
2021	J	`jnl`	Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature. CoRR Kefan Dong, Jiaqi Yang, Tengyu Ma
2020	A*	`conf`	Multinomial Logit Bandit with Low Switching Cost. ICML Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
2020	J	`jnl`	Multinomial Logit Bandit with Low Switching Cost. CoRR Kefan Dong, Yingkai Li, Qin Zhang, Yuan Zhou
2020	A*	`conf`	On the Expressivity of Neural Networks for Deep Reinforcement Learning. ICML Kefan Dong, Yuping Luo, Tianhe Yu, Chelsea Finn, Tengyu Ma
2020	A*	`conf`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. ICLR Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang
2020	J	`jnl`	Refined Analysis of FPL for Adversarial Markov Decision Processes. CoRR Yuanhao Wang, Kefan Dong
2020	A*	`conf`	Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. COLT Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou
2019	J	`jnl`	Bootstrapping the Expressivity with Model-based Planning. CoRR Kefan Dong, Yuping Luo, Tengyu Ma
2019	A*	`conf`	Exploration via Hindsight Goal Generation. NeurIPS Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	J	`jnl`	Exploration via Hindsight Goal Generation. CoRR Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng
2019	J	`jnl`	Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. CoRR Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang
2019	J	`jnl`	√n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. CoRR Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou