| An accelerated stochastic algorithm for solving the optimal transport problem Y Xie, Y Luo, X Huo arXiv preprint arXiv:2203.00813, 2022 | 7 | 2022 |
| Improved rate of first order algorithms for entropic optimal transport Y Luo, Y Xie, X Huo International Conference on Artificial Intelligence and Statistics, 2723-2750, 2023 | 4 | 2023 |
| Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm Y Xie, Y Luo, X Huo Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent Y Luo, X Huo, Y Mei 2022 IEEE International Symposium on Information Theory (ISIT), 696 - 701, 2022 | 2 | 2022 |
| Covariance estimators for the root-sgd algorithm in online learning Y Luo, X Huo, Y Mei arXiv preprint arXiv:2212.01259, 2022 | 1 | 2022 |
| High-dimensional sparse index tracking based on a multi-step convex optimization approach F Shi, L Shu, Y Luo, X Huo Quantitative Finance 23 (9), 1361-1372, 2023 | | 2023 |
| The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models Y Luo, X Huo, Y Mei 2022 IEEE International Symposium on Information Theory (ISIT), 678 - 683, 2022 | | 2022 |
| Directional Bias Helps Stochastic Gradient Descent to Generalize in Nonparametric Model Y Luo, X Huo, Y Mei | | 2021 |
