Wasserstein Discriminant Analysis

29 August 2016

Papers citing "Wasserstein Discriminant Analysis"

22 / 22 papers shown

Title
Canonical Variates in Wasserstein Metric Space Jia Li Lin Lin 21 1 0 24 May 2024
Entropic Wasserstein Component Analysis Antoine Collas Titouan Vayer Rémi Flamary A. Breloy 26 1 0 09 Mar 2023
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant Analysis Dong Min Roh Z. Bai Ren-Cang Li 18 1 0 21 Nov 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 46 13 0 30 May 2022
Wasserstein t-SNE Fynn Bachmann Philipp Hennig Dmitry Kobak 28 2 0 16 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 34 32 0 19 Apr 2022
OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation J. Qian Shumin Zhu Chao-Yue Zhao Jian Yang Wai Keung Wong CVBM 32 5 0 28 Mar 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 38 19 0 08 Feb 2022
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 48 66 0 15 Feb 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation Wei Wang Baopu Li Shuhui Yang Jing Sun Zhengming Ding Junyang Chen Xiao Dong Zhihui Wang Haojie Li 39 11 0 25 Jan 2021
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 41 29 0 10 Feb 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 8 44 0 14 Oct 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 25 102 0 16 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 25 389 0 23 Aug 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 27 29 0 19 Jul 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 25 50 0 30 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 29 28 0 14 May 2019
Wasserstein Barycenter Model Ensembling Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 30 24 0 13 Feb 2019
Subspace Robust Wasserstein Distances François-Pierre Paty Marco Cuturi 30 150 0 25 Jan 2019
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 24 130 0 30 May 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes Edouard Grave Armand Joulin Quentin Berthet 17 198 0 29 May 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 23 583 0 26 May 2017