Ni, Chengzhuo

1. Diffusion Model for Data-Driven Black-Box Optimization
   2024/03/20 by Zihao Li, Hui Yuan, Li, Zihao +11 · 9 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications #Optimization and Control (math.OC) #Scheduling and Optimization Algorithms
2. On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
   2021/02/17 by Junyu Zhang, Zhang, Junyu, Chengzhuo Ni +7 · 5 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
3. Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
   2023/07/13 by Hui Yuan, Yuan, Hui, Kaixuan Huang +7 · 6 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks
4. Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
   2022/02/10 by Zhang, Ruiqi, Zhang, Xuezhou, Ni, Chengzhuo +1 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Learning to Control in Metric Space with Optimal Regret
   2019/05/05 by Lin F. Yang, Chengzhuo Ni, Yang, Lin F. +3 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics