Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow

1 November 2023

Papers citing "Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow"

5 / 5 papers shown

Title
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood Bryon Aragam Ruiyi Yang 45 0 0 29 Oct 2024
Forward-Euler time-discretization for Wasserstein gradient flows can be wrong Yewei Xu Qin Li 29 1 0 12 Jun 2024
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow Yuling Yan Kaizheng Wang Philippe Rigollet 41 20 0 04 Jan 2023
Convex Analysis of the Mean Field Langevin Dynamics Atsushi Nitanda Denny Wu Taiji Suzuki MLT 59 64 0 25 Jan 2022
Towards a mathematical theory of trajectory inference Hugo Lavenant Stephen X. Zhang Young-Heon Kim Geoffrey Schiebinger 21 40 0 18 Feb 2021