Yan, Yuling

1. Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
   2024/05/23 by Gen Li, Yuling Yan, Li, Gen +1 · 10 citations
   Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistics Theory (math.ST)
2. Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
   2019/02/20 by Chen, Yuxin, Chi, Yuejie, Fan, Jianqing +2 · 4 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
3. O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions
   2024/09/27 by Gen Li, Li, Gen, Yuling Yan +1 · 12 citations
   Decision Sciences · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probabilistic and Robust Engineering Design #Statistics Theory (math.ST)
4. Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
   2023/01/04 by Yuling Yan, Kaizheng Wang, Yan, Yuling +3 · 5 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Statistical Methods and Inference #Statistics Theory (math.ST)
5. Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
   2021/05/28 by Bingyan Wang, Wang, Bingyan, Yuling Yan +3 · 2 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Statistics Theory (math.ST)
6. The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
   2024/08/24 by Su, Buxin, Zhang, Jiayao, Collina, Natalie +6 · 4 citations
   #Applications (stat.AP) #Computer Science and Game Theory (cs.GT) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
   2023/04/14 by Li, Gen, Yan, Yuling, Chen, Yuxin +1 · 2 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Systems and Control (eess.SY) #electronic engineering #information engineering
8. Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
   2023/04/21 by Yuling Yan, Weijie Su, Yan, Yuling +3 · 2 citations
   Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Game Theory and Voting Systems #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistics Theory (math.ST) #Theoretical Economics (econ.TH)
9. The Efficacy of Pessimism in Asynchronous Q-Learning
   2022/03/14 by Yan, Yuling, Li, Gen, Chen, Yuxin +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
10. Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
    2024/01/24 by Yan, Yuling, Wainwright, Martin J. · 1 citation
    #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
11. Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models
    2025/01/31 by Tang, Jiaqi, Yan, Yuling · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs
    2020/08/04 by Yuxin Chen, Chen, Yuxin, Jianqing Fan +5 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Advanced Image Processing Techniques