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Wasserstein Control of Mirror Langevin Monte Carlo

Wasserstein Control of Mirror Langevin Monte Carlo

11 February 2020
Kelvin Shuangjian Zhang
Gabriel Peyré
M. Fadili
Marcelo Pereyra
ArXivPDFHTML

Papers citing "Wasserstein Control of Mirror Langevin Monte Carlo"

13 / 13 papers shown
Title
Mirror Mean-Field Langevin Dynamics
Mirror Mean-Field Langevin Dynamics
Anming Gu
Juno Kim
31
0
0
05 May 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi-Hu Feng
Xiao Wang
Tian Xie
62
0
0
26 Feb 2025
Quantum State Generation with Structure-Preserving Diffusion Model
Quantum State Generation with Structure-Preserving Diffusion Model
Yuchen Zhu
Tianrong Chen
Evangelos A. Theodorou
Xie Chen
Molei Tao
DiffM
37
6
0
09 Apr 2024
Query lower bounds for log-concave sampling
Query lower bounds for log-concave sampling
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
32
8
0
05 Apr 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations
  and Affine Invariance
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
11
17
0
21 Feb 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean
  Proximal Sampler
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
Sivakanth Gopi
Y. Lee
Daogao Liu
Ruoqi Shen
Kevin Tian
17
7
0
13 Feb 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling
A Dynamical System View of Langevin-Based Non-Convex Sampling
Mohammad Reza Karimi
Ya-Ping Hsieh
Andreas Krause
31
4
0
25 Oct 2022
Resolving the Mixing Time of the Langevin Algorithm to its Stationary
  Distribution for Log-Concave Sampling
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling
Jason M. Altschuler
Kunal Talwar
27
24
0
16 Oct 2022
Condition-number-independent convergence rate of Riemannian Hamiltonian
  Monte Carlo with numerical integrators
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators
Yunbum Kook
Y. Lee
Ruoqi Shen
Santosh Vempala
35
12
0
13 Oct 2022
Convergence of the Riemannian Langevin Algorithm
Convergence of the Riemannian Langevin Algorithm
Khashayar Gatmiry
Santosh Vempala
22
21
0
22 Apr 2022
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
45
19
0
23 Jun 2021
Low-Rank Sinkhorn Factorization
Low-Rank Sinkhorn Factorization
M. Scetbon
Marco Cuturi
Gabriel Peyré
22
57
0
08 Mar 2021
SVGD as a kernelized Wasserstein gradient flow of the chi-squared
  divergence
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
Sinho Chewi
Thibaut Le Gouic
Chen Lu
Tyler Maunu
Philippe Rigollet
31
66
0
03 Jun 2020
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