From Optimization to Sampling Through Gradient Flows

22 February 2023

Papers citing "From Optimization to Sampling Through Gradient Flows"

10 / 10 papers shown

Title
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
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
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations Huan Zhang Yifan Chen Eric Vanden-Eijnden Benjamin Peherstorfer 39 2 0 01 Apr 2024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities Rocco Caprio Juan Kuntz Samuel Power A. M. Johansen 43 8 0 04 Mar 2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints Lingkai Kong Yuanqi Du Wenhao Mu Kirill Neklyudov Valentin De Bortol ... D. Wu Aaron Ferber Yi Ma Carla P. Gomes Chao Zhang 27 10 0 28 Feb 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow A. Maurais Youssef Marzouk 26 12 0 08 Jan 2024
Sampling via Gradient Flows in the Space of Probability Measures Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 30 13 0 05 Oct 2023
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 30 23 0 19 May 2023
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 16 17 0 21 Feb 2023
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016