Assistant Professor

Research Interests

Machine learning theory, Bayesian statistics, sampling complexity, Nonparametric inference.

Teaching

• MATH5432  Advanced Mathematical Statistics II

Selected Publications

  Article

1. On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Journal of Machine Learning Research, v. 25, April 2024, p. 1-79
   • Year: 2024


2. Minimax rate of distribution estimation on unknown submanifolds under adversarial losses
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Annals of Statistics, v. 51, (3), June 2023, p. 1282-1308
   • Year: 2023


3. Bayesian inference for risk minimization via exponentially tilted empirical likelihood
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Journal of the Royal Statistical Society Series B: Statistical Methodology, v. 84, (4), September 2022, p. 1257-1286
   • Year: 2022

  Conference paper

1. Adaptivity of Diffusion Models to Manifold Structures
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Proceedings of Machine Learning Research, v. 238, May 2024, p. 1648-1656
   • Year: 2024


2. Minimax Nonparametric Two-Sample Test under Adversarial Losses
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Proceedings of Machine Learning Research, v. 206, 2023, p. 6132-6165
   • Year: 2023


3. On Empirical Bayes Variational Autoencoder: An Excess Risk Bound
   • Author(s): Tang, Rong; Yang, Yun
   • Source: Proceedings of Machine Learning Research, v. 134, 2021, p. 4068-4125
   • Year: 2021