| A convergence theory for SVGD in the population limit under Talagrand’s inequality T1 A Salim, L Sun, P Richtarik International Conference on Machine Learning, 19139-19152, 2022 | 16 | 2022 |
| Convergence of Stein variational gradient descent under a weaker smoothness condition L Sun, A Karagulyan, P Richtarik International Conference on Artificial Intelligence and Statistics, 3693-3717, 2023 | 14 | 2023 |
| Complexity Analysis of Stein Variational Gradient Descent Under Talagrand's Inequality T1 A Salim, L Sun, P Richtárik arXiv, 2021 | 4 | 2021 |
| Sharper rates and flexible framework for nonconvex SGD with client and data sampling A Tyurin, L Sun, K Burlachenko, P Richtárik Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| A Note on the Convergence of Mirrored Stein Variational Gradient Descent under Smoothness Condition L Sun, P Richtárik arXiv preprint arXiv:2206.09709, 2022 | 3 | 2022 |
| Federated Learning with a Sampling Algorithm under Isoperimetry L Sun, A Salim, P Richtárik Transactions on Machine Learning Research, 2024 | 2 | 2024 |
| A PDE Framework of Consensus-Based Optimization for Objectives with Multiple Global Minimizers M Fornasier, L Sun arXiv preprint arXiv:2403.06662, 2024 | 1 | 2024 |
| Consensus-Based Optimization with Truncated Noise M Fornasier, P Richtárik, K Riedl, L Sun arXiv preprint arXiv:2310.16610, 2023 | 1 | 2023 |
| Improved Stein Variational Gradient Descent with Importance Weights L Sun, P Richtárik Neurips OTML Workshop 2023, 2023 | | 2023 |
| Federated Sampling with Langevin Algorithm under Isoperimetry L Sun, A Salim, P Richtárik Transactions on Machine Learning Research, 2023 | | 2023 |
