Averaging on the Bures-Wasserstein manifold: dimension-free convergence
of gradient descent

Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent

16 June 2021

Jason M. Altschuler

Austin J. Stromme

Papers citing "Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent"

17 / 17 papers shown

Title
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians Ngoc-Hai Nguyen Dung D. Le Hoang Nguyen Tung Pham Nhat Ho OT 36 1 0 10 Oct 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 41 0 0 03 Oct 2024
Large Deviations Principle for Bures-Wasserstein Barycenters Adam Quinn Jaffe Leonardo P. M. Santoro 21 0 0 17 Sep 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 32 7 0 05 Dec 2023
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 32 4 0 20 Oct 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 32 21 0 10 Apr 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow Yuling Yan Kaizheng Wang Philippe Rigollet 44 20 0 04 Jan 2023
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery Tyler Maunu Thibaut Le Gouic Philippe Rigollet 22 5 0 26 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 26 0 0 22 Oct 2022
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Łojasiewicz Functions when the Non-Convexity is Averaged-Out Jun-Kun Wang Chi-Heng Lin Andre Wibisono Bin Hu 32 20 0 22 Jun 2022
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities Sinho Chewi Aram-Alexandre Pooladian 36 36 0 09 Mar 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 32 24 0 28 Jan 2022
Measure Estimation in the Barycentric Coding Model Matthew Werenski Ruijie Jiang Abiy Tasissa Shuchin Aeron James M. Murphy 40 14 0 28 Jan 2022
Wasserstein barycenters are NP-hard to compute Jason M. Altschuler Enric Boix-Adserà OT 157 40 0 04 Jan 2021
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
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark W. Schmidt Francis R. Bach 126 259 0 10 Dec 2012