Projected Wasserstein gradient descent for high-dimensional Bayesian
inference

v1v2 (latest)

Projected Wasserstein gradient descent for high-dimensional Bayesian inference

12 February 2021

Wuchen Li

ArXiv (abs)PDF HTML

Papers citing "Projected Wasserstein gradient descent for high-dimensional Bayesian inference"

16 / 16 papers shown

Title
Visual Prompting for One-shot Controllable Video Editing without Inversion Zhengbo Zhang Yuxi Zhou Duo Peng Joo-Hwee Lim Zhigang Tu De Wen Soh Lin Geng Foo DiffM 105 1 0 19 Apr 2025
Path-Guided Particle-based Sampling Mingzhou Fan Ruida Zhou C. Tian Xiaoning Qian 122 7 0 04 Dec 2024
Forward-Euler time-discretization for Wasserstein gradient flows can be wrong Yewei Xu Qin Li 87 1 0 12 Jun 2024
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression Takuo Matsubara 46 0 0 15 May 2024
Input-gradient space particle inference for neural network ensembles Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski UQCV 75 4 0 05 Jun 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 115 5 0 24 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 111 11 0 23 May 2023
The Score-Difference Flow for Implicit Generative Modeling Romann M. Weber DiffM 70 2 0 25 Apr 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 68 29 0 10 Apr 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 76 19 0 21 Feb 2023
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 96 20 0 25 Nov 2022
Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems Lianghao Cao Thomas O'Leary-Roseberry Prashant K. Jha J. Oden Omar Ghattas 67 26 0 06 Oct 2022
Feature Space Particle Inference for Neural Network Ensembles Shingo Yashima Teppei Suzuki Kohta Ishikawa Ikuro Sato Rei Kawakami BDL 66 11 0 02 Jun 2022
Efficient Gradient Flows in Sliced-Wasserstein Space Clément Bonet Nicolas Courty Franccois Septier Lucas Drumetz 141 21 0 21 Oct 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 125 101 0 22 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 105 57 0 01 Jun 2021