A connection between Tempering and Entropic Mirror Descent

18 October 2023

Papers citing "A connection between Tempering and Entropic Mirror Descent"

12 / 12 papers shown

Title
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 68 1 0 31 Oct 2024
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 35 2 0 13 Oct 2024
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 34 2 0 20 Sep 2024
Ensemble Kalman inversion approximate Bayesian computation R. Everitt 34 0 0 26 Jul 2024
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 51 5 0 25 Jun 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
Doubly Adaptive Importance Sampling W. van den Boom Andrea Cremaschi Alexandre H. Thiery 26 0 0 29 Apr 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow A. Maurais Youssef Marzouk 26 13 0 08 Jan 2024
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
Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics Yulong Lu D. Slepčev Lihan Wang 40 22 0 01 Nov 2022
An invitation to sequential Monte Carlo samplers Chenguang Dai J. Heng Pierre E. Jacob N. Whiteley 52 65 0 23 Jul 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016