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2006.09270
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Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
16 June 2020
Adil Salim
Peter Richtárik
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Papers citing
"Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm"
19 / 19 papers shown
Accelerating Constrained Sampling: A Large Deviations Approach
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Changwei Tu
Xiaoyu Wang
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259
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09 Jun 2025
Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
Matthieu Blanke
Yongquan Qu
Sara Shamekh
Pierre Gentine
DiffM
468
3
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23 May 2025
Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis
Nian Yao
Pervez Ali
Xihua Tao
Lingjiong Zhu
309
1
0
24 Mar 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo
Neural Information Processing Systems (NeurIPS), 2024
Luiz F. O. Chamon
Mohammad Reza Karimi
Anna Korba
405
7
0
08 Jan 2025
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
378
10
0
20 Jun 2024
Proximal Oracles for Optimization and Sampling
Jiaming Liang
Yongxin Chen
397
3
0
02 Apr 2024
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Neural Information Processing Systems (NeurIPS), 2023
Anant Raj
Umut Simsekli
Alessandro Rudi
DiffM
464
3
0
30 Mar 2023
Improved dimension dependence of a proximal algorithm for sampling
Annual Conference Computational Learning Theory (COLT), 2023
JiaoJiao Fan
Bo Yuan
Yongxin Chen
534
37
0
20 Feb 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
Annual Conference Computational Learning Theory (COLT), 2022
Jason M. Altschuler
Kunal Talwar
380
28
0
16 Oct 2022
Nesterov smoothing for sampling without smoothness
IEEE Conference on Decision and Control (CDC), 2022
JiaoJiao Fan
Bo Yuan
Jiaming Liang
Yongxin Chen
433
2
0
15 Aug 2022
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
International Conference on Machine Learning (ICML), 2022
Tim Tsz-Kit Lau
Han Liu
411
11
0
10 Jul 2022
A Proximal Algorithm for Sampling from Non-convex Potentials
Jiaming Liang
Yongxin Chen
422
4
0
20 May 2022
Particle algorithms for maximum likelihood training of latent variable models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Juan Kuntz
Jen Ning Lim
A. M. Johansen
FedML
510
33
0
27 Apr 2022
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
G. Fort
Barbara Pascal
P. Abry
N. Pustelnik
300
13
0
17 Mar 2022
A Proximal Algorithm for Sampling
Jiaming Liang
Yongxin Chen
397
24
0
28 Feb 2022
Improved analysis for a proximal algorithm for sampling
Annual Conference Computational Learning Theory (COLT), 2022
Yongxin Chen
Sinho Chewi
Adil Salim
Andre Wibisono
323
86
0
13 Feb 2022
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser
Michael Arbel
Arthur Gretton
357
43
0
16 Jun 2021
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1
International Conference on Machine Learning (ICML), 2021
Adil Salim
Lukang Sun
Peter Richtárik
267
27
0
06 Jun 2021
Efficient constrained sampling via the mirror-Langevin algorithm
Neural Information Processing Systems (NeurIPS), 2020
Kwangjun Ahn
Sinho Chewi
443
64
0
30 Oct 2020
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