Accelerated Information Gradient flow

Accelerated Information Gradient flow

4 September 2019

Wuchen Li

Papers citing "Accelerated Information Gradient flow"

17 / 17 papers shown

Title
Accelerated Stein Variational Gradient Flow Viktor Stein Wuchen Li 56 0 0 30 Mar 2025
Nesterov Acceleration for Ensemble Kalman Inversion and Variants Sydney Vernon Eviatar Bach Oliver R. A. Dunbar 39 1 0 15 Jan 2025
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems Mo Zhou Stanley Osher Wuchen Li 84 2 0 24 Sep 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 24 5 0 27 Dec 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 34 17 0 16 Oct 2023
Accelerating optimization over the space of probability measures Shi Chen Wenxuan Wu Yuhang Yao Stephen J. Wright 26 4 0 06 Oct 2023
Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models Wuchen Li Jiaxi Zhao 11 1 0 22 Sep 2023
Information geometric bound on general chemical reaction networks Tsuyoshi Mizohata Tetsuya J. Kobayashi Louis-S. Bouchard Hideyuki Miyahara 11 1 0 19 Sep 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 11 17 0 21 Feb 2023
Information Geometry of Dynamics on Graphs and Hypergraphs Tetsuya J. Kobayashi Dimitri Loutchko A. Kamimura Shuhei A. Horiguchi Yuki Sughiyama AI4CE 13 10 0 26 Nov 2022
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 24 19 0 25 Nov 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games Chao Ma Lexing Ying MLT 27 11 0 15 Feb 2022
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li B. Shahbaba UQCV BDL 25 16 0 11 Jan 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Information Newton's flow: second-order optimization method in probability space Yifei Wang Wuchen Li 18 31 0 13 Jan 2020
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 105 1,152 0 04 Mar 2015
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012