| Minimax rate of distribution estimation on unknown submanifolds under adversarial losses R Tang, Y Yang The Annals of Statistics 51 (3), 1282-1308, 2023 | 12 | 2023 |
| On empirical bayes variational autoencoder: An excess risk bound R Tang, Y Yang Conference on Learning Theory, 4068-4125, 2021 | 8 | 2021 |
| On the computational complexity of Metropolis-adjusted Langevin algorithms for Bayesian posterior sampling R Tang, Y Yang Journal of Machine Learning Research 25 (157), 1-79, 2024 | 6 | 2024 |
| Bayesian inference for risk minimization via exponentially tilted empirical likelihood R Tang, Y Yang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 5* | 2022 |
| Adaptivity of diffusion models to manifold structures R Tang, Y Yang International Conference on Artificial Intelligence and Statistics, 1648-1656, 2024 | 3 | 2024 |
| Some advances in Bayesian inference and generative modeling R Tang University of Illinois at Urbana-Champaign, 2023 | 1 | 2023 |
| Robust Bayesian Inference on Riemannian Submanifold R Tang, A Bhattacharya, D Pati, Y Yang arXiv preprint arXiv:2310.18047, 2023 | | 2023 |
| Minimax Nonparametric Two-Sample Test under Adversarial Losses R Tang, Y Yang International Conference on Artificial Intelligence and Statistics, 6132-6165, 2023 | | 2023 |
| Estimating Distributions with Low-dimensional Structures Using Mixtures of Generative Models R Tang, Y Yang arXiv preprint arXiv:2301.00890, 2023 | | 2023 |
