| On the ergodicity, bias and asymptotic normality of randomized midpoint sampling method Y He, K Balasubramanian, MA Erdogdu Advances in Neural Information Processing Systems 33, 7366-7376, 2020 | 33 | 2020 |
| Towards a complete analysis of langevin monte carlo: Beyond poincaré inequality A Mousavi-Hosseini, TK Farghly, Y He, K Balasubramanian, MA Erdogdu The Thirty Sixth Annual Conference on Learning Theory, 1-35, 2023 | 16 | 2023 |
| An analysis of Transformed Unadjusted Langevin Algorithm for Heavy-tailed Sampling Y He, K Balasubramanian, MA Erdogdu IEEE Transactions on Information Theory, 2023 | 9* | 2023 |
| Regularized Stein variational gradient flow Y He, K Balasubramanian, BK Sriperumbudur, J Lu arXiv preprint arXiv:2211.07861, 2022 | 7 | 2022 |
| High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance K Balasubramanian, P Ghosal, Y He arXiv preprint arXiv:2304.00707, 2023 | 2 | 2023 |
| Mean-square analysis of discretized Itô diffusions for heavy-tailed sampling Y He, T Farghly, K Balasubramanian, MA Erdogdu Journal of Machine Learning Research 25 (43), 1-44, 2024 | 1 | 2024 |
| Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Y He, K Rojas, M Tao arXiv preprint arXiv:2402.17886, 2024 | | 2024 |
| Advances in Sampling and Stochastic Optimization Y He University of California, Davis, 2023 | | 2023 |
Krishnakumar BalasubramanianUniversity of California, DavisVerified email at ucdavis.edu
