Complexity Analysis of Stein Variational Gradient Descent Under Talagrand's Inequality T1. - Adil Salim; Lukang Sun; Peter Richtárik (CoRR, 2021)

A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1. - Adil Salim; Lukang Sun; Peter Richtárik (ICML, 2022)

Federated Learning with a Sampling Algorithm under Isoperimetry. - Lukang Sun; Adil Salim; Peter Richtárik (CoRR, 2022)

A Note on the Convergence of Mirrored Stein Variational Gradient Descent under (L0, L1)-Smoothness Condition. - Lukang Sun; Peter Richtárik (CoRR, 2022)

Improved Stein Variational Gradient Descent with Importance Weights. - Lukang Sun; Peter Richtárik (CoRR, 2022)

Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition. - Lukang Sun; Avetik G. Karagulyan; Peter Richtárik (AISTATS, 2023)

Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling. - Alexander Tyurin; Lukang Sun; Konstantin Burlachenko; Peter Richtárik (Trans. Mach. Learn. Res., 2023)

Federated Sampling with Langevin Algorithm under Isoperimetry. - Lukang Sun; Adil Salim; Peter Richtárik (Trans. Mach. Learn. Res., 2024)