Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM

17 June 2022

Papers citing "Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM"

16 / 16 papers shown

Title
Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity Giacomo Greco Luca Tamanini 29 1 0 15 Apr 2025
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 68 1 0 31 Oct 2024
Computing Optimal Regularizers for Online Linear Optimization Khashayar Gatmiry Jon Schneider Stefanie Jegelka 33 0 0 22 Oct 2024
Dual Approximation Policy Optimization Zhihan Xiong Maryam Fazel Lin Xiao 35 1 0 02 Oct 2024
Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing Lénaïc Chizat OT 14 0 0 21 Aug 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians Tom Huix Anna Korba Alain Durmus Eric Moulines 36 7 0 06 Jun 2024
A Fisher-Rao gradient flow for entropic mean-field min-max games Razvan-Andrei Lascu Mateusz B. Majka Lukasz Szpruch MLT AI4CE 35 1 0 24 May 2024
Analysis of Kernel Mirror Prox for Measure Optimization Pavel Dvurechensky Jia Jie Zhu 31 2 0 29 Feb 2024
Mirror Descent-Ascent for mean-field min-max problems Razvan-Andrei Lascu Mateusz B. Majka Lukasz Szpruch 35 1 0 12 Feb 2024
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training Takashi Furuya Satoshi Okuda Kazuma Suetake Yoshihide Sawada 27 0 0 02 Dec 2023
Sinkhorn Flow: A Continuous-Time Framework for Understanding and Generalizing the Sinkhorn Algorithm Mohammad Reza Karimi Ya-Ping Hsieh Andreas Krause 47 1 0 28 Nov 2023
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow Rentian Yao Linjun Huang Yun Yang 21 3 0 01 Nov 2023
A connection between Tempering and Entropic Mirror Descent Nicolas Chopin F. R. Crucinio Anna Korba 24 12 0 18 Oct 2023
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces B. Kerimkulov J. Leahy David Siska Lukasz Szpruch Yufei Zhang 29 7 0 04 Oct 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes Marin Ballu Quentin Berthet 33 7 0 18 Nov 2022
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 37 3 0 09 Nov 2022