Liang, Jiadong

1. A Statistical Analysis of Polyak-Ruppert Averaged Q-learning
   2021/12/29 by Xiang Li, Li, Xiang, Wenhao Yang +7 · 5 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Receptor Mechanisms and Signaling #Reinforcement Learning in Robotics
2. Lipschitz Generative Adversarial Nets
   2019/02/15 by Zhou, Zhiming, Liang, Jiadong, Song, Yuxuan +5 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Low-dimensional adaptation of diffusion models: Convergence in total variation
   2025/01/22 by Jiadong Liang, Zhihan Huang, Liang, Jiadong +3 · 6 citations
   Computer Science · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Estimation and Inference in Distributional Reinforcement Learning
   2023/09/29 by Zhang, Liangyu, Peng, Yang, Liang, Jiadong +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Statistical Estimation and Inference via Local SGD in Federated Learning
   2021/09/03 by Li, Xiang, Liang, Jiadong, Chang, Xiangyu +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Emotional Conversation: Empowering Talking Faces with Cohesive Expression, Gaze and Pose Generation
   2024/06/12 by Liang, Jiadong, Lu, Feng · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
7. Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation
   2024/10/19 by Xie, Chuhan, Jiadong Liang, Jin, Kaicheng +3 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural Networks and Applications #Statistical and numerical algorithms
8. Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
   2018/07/02 by Zhiming Zhou, Zhou, Zhiming, Yuxuan Song +13 · 3 citations
   Computer Science · #Advanced Image Processing Techniques #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation
   2024/12/22 by Han, Yuze, Li, Xiang, Liang, Jiadong +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR)