Liang, Tengyuan

1. Estimating Certain Integral Probability Metric (IPM) is as Hard as Estimating under the IPM
   2019/11/02 by Tengyuan Liang, Liang, Tengyuan · 5 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistics Theory (math.ST)
2. How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View
   2017/12/21 by Liang, Tengyuan · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
3. Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity
   2024/11/03 by Tengyuan Liang, Liang, Tengyuan, Kulunu Dharmakeerthi +3 · 4 citations
   Computer Science · #Advanced Mathematical Modeling in Engineering #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
4. Interpolating Classifiers Make Few Mistakes
   2021/01/28 by Tengyuan Liang, Benjamin Recht, Liang, Tengyuan +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Numerical Analysis (math.NA) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
5. On the Minimax Optimality of Estimating the Wasserstein Metric
   2019/08/27 by Tengyuan Liang, Liang, Tengyuan · 2 citations
   Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics Theory (math.ST)