Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces

7 February 2024

Papers citing "Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces"

22 / 22 papers shown

Title
Ultra-fast feature learning for the training of two-layer neural networks in the two-timescale regime Raphael Barboni Gabriel Peyré François-Xavier Vialard MLT 68 0 0 25 Apr 2025
Smoothed Distance Kernels for MMDs and Applications in Wasserstein Gradient Flows Nicolaj Rux Michael Quellmalz Gabriele Steidl 54 0 0 10 Apr 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 120 0 0 03 Mar 2025
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu 130 1 0 31 Oct 2024
Forward-Euler time-discretization for Wasserstein gradient flows can be wrong Yewei Xu Qin Li 50 1 0 12 Jun 2024
Interaction-Force Transport Gradient Flows E. Gladin Pavel Dvurechensky Alexander Mielke Jia Jie Zhu OT 54 6 0 27 May 2024
Generative Sliced MMD Flows with Riesz Kernels J. Hertrich Christian Wald Fabian Altekrüger Paul Hagemann 46 27 0 19 May 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments Heiner Kremer Yassine Nemmour Bernhard Schölkopf Jia-Jie Zhu 59 7 0 18 May 2023
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 93 9 0 16 May 2022
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 87 40 0 16 Jun 2021
Moreau-Yosida $f$ -divergences Dávid Terjék 23 5 0 26 Feb 2021
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence A. Andrle N. Farchmin Paul Hagemann Sebastian Heidenreich V. Soltwisch Gabriele Steidl 89 16 0 05 Feb 2021
Optimal Bounds between $f$ -Divergences and Integral Probability Metrics R. Agrawal Thibaut Horel 31 38 0 10 Jun 2020
Generalized Energy Based Models Michael Arbel Liang Zhou Arthur Gretton DRL 87 80 0 10 Mar 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 43 56 0 11 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 366 42,299 0 03 Dec 2019
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 68 74 0 28 Oct 2019
Strictly proper kernel scores and characteristic kernels on compact spaces Ingo Steinwart J. Ziegel 41 24 0 14 Dec 2017
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 88 64 0 31 May 2016
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Carl-Johann Simon-Gabriel Bernhard Schölkopf 31 92 0 18 Apr 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 236 4,778 0 04 Jan 2016
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 195 528 0 03 Mar 2010