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2020 – today
- 2024
[j2]Lukang Sun, Adil Salim, Peter Richtárik:
Federated Sampling with Langevin Algorithm under Isoperimetry. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j1]Alexander Tyurin, Lukang Sun, Konstantin Burlachenko, Peter Richtárik:
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Lukang Sun, Avetik G. Karagulyan, Peter Richtárik:
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition. AISTATS 2023: 3693-3717 - 2022
- [c1]Adil Salim, Lukang Sun, Peter Richtárik:
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1. ICML 2022: 19139-19152 - [i6]Lukang Sun, Avetik G. Karagulyan, Peter Richtárik:
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition. CoRR abs/2206.00508 (2022) - [i5]Lukang Sun, Adil Salim, Peter Richtárik:
Federated Learning with a Sampling Algorithm under Isoperimetry. CoRR abs/2206.00920 (2022) - [i4]Alexander Tyurin, Lukang Sun, Konstantin Burlachenko, Peter Richtárik:
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling. CoRR abs/2206.02275 (2022) - [i3]Lukang Sun, Peter Richtárik:
A Note on the Convergence of Mirrored Stein Variational Gradient Descent under (L0, L1)-Smoothness Condition. CoRR abs/2206.09709 (2022) - [i2]Lukang Sun, Peter Richtárik:
Improved Stein Variational Gradient Descent with Importance Weights. CoRR abs/2210.00462 (2022) - 2021
- [i1]Adil Salim, Lukang Sun, Peter Richtárik
:
Complexity Analysis of Stein Variational Gradient Descent Under Talagrand's Inequality T1. CoRR abs/2106.03076 (2021)
Coauthor Index
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