Statistical inference for Bures-Wasserstein barycenters

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Statistical inference for Bures-Wasserstein barycenters

2 January 2019

Alexey Kroshnin

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Papers citing "Statistical inference for Bures-Wasserstein barycenters"

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Title
Large Sample Theory for Bures-Wasserstein Barycentres Leonardo P. M. Santoro V. Panaretos 53 3 0 24 May 2023
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss Pierre Bréchet Katerina Papagiannouli Jing An Guido Montúfar 76 4 0 06 Mar 2023
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 84 37 0 16 Jun 2021
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees F. Heinemann Axel Munk Y. Zemel 55 17 0 11 Dec 2020
Stochastic Saddle-Point Optimization for Wasserstein Barycenters D. Tiapkin Alexander Gasnikov Pavel Dvurechensky 60 7 0 11 Jun 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 65 3 0 24 May 2020
Gradient descent algorithms for Bures-Wasserstein barycenters Sinho Chewi Tyler Maunu Philippe Rigollet Austin J. Stromme 58 87 0 06 Jan 2020
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 80 103 0 16 Sep 2019
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space Thibaut Le Gouic Q. Paris Philippe Rigollet Austin J. Stromme 100 52 0 02 Aug 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 60 28 0 14 May 2019
Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendible geodesics A. Ahidar-Coutrix Thibaut Le Gouic Q. Paris 84 53 0 07 Jun 2018