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 Federated Learning with a Sampling Algorithm under Isoperimetry L Sun, A Salim, P Richtárik
Transactions on Machine Learning Research, 2024
3 2024 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 Consensus-Based Optimization with Truncated Noise M Fornasier, P Richtárik, K Riedl, L Sun
arXiv preprint arXiv:2310.16610, 2023
2 2023 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 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