Chengzhuo Ni - RankMe

19 papers A* 6B 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Diffusion Model for Data-Driven Black-Box Optimization. CoRR Zihao Li, Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Yinyu Ye, Minshuo Chen, Mengdi Wang
2023	J	`jnl`	Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition. J. Mach. Learn. Res. Chengzhuo Ni, Yaqi Duan, Munther A. Dahleh, Mengdi Wang, Anru R. Zhang
2023	A*	`conf`	Representation Learning for Low-rank General-sum Markov Games. ICLR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
2023	A*	`conf`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. NeurIPS Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2023	J	`jnl`	Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement. CoRR Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
2022	A*	`conf`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. NeurIPS Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	J	`jnl`	Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization. CoRR Hui Yuan, Chengzhuo Ni, Huazheng Wang, Xuezhou Zhang, Le Cong, Csaba Szepesvári, Mengdi Wang
2022	A*	`conf`	Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. ICML Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang
2022	J	`jnl`	Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory. CoRR Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang
2022	J	`jnl`	Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration. CoRR Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang
2022	A*	`conf`	Optimal Estimation of Policy Gradient via Double Fitted Iteration. ICML Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang
2022	J	`jnl`	Representation Learning for General-sum Low-rank Markov Games. CoRR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang
2021	B	`conf`	Learning Good State and Action Representations via Tensor Decomposition. ISIT Chengzhuo Ni, Anru R. Zhang, Yaqi Duan, Mengdi Wang
2021	J	`jnl`	Learning Good State and Action Representations via Tensor Decomposition. CoRR Chengzhuo Ni, Anru Zhang, Yaqi Duan, Mengdi Wang
2021	A*	`conf`	On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. NeurIPS Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method. CoRR Junyu Zhang, Chengzhuo Ni, Zheng Yu, Csaba Szepesvári, Mengdi Wang
2019	—	`conf`	Learning to Control in Metric Space with Optimal Regret. Allerton Chengzhuo Ni, Lin F. Yang, Mengdi Wang
2019	J	`jnl`	Learning to Control in Metric Space with Optimal Regret. CoRR Lin F. Yang, Chengzhuo Ni, Mengdi Wang
2019	B	`conf`	Maximum Likelihood Tensor Decomposition of Markov Decision Process. ISIT Chengzhuo Ni, Mengdi Wang