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Learning with a Wasserstein Loss

17 June 2015

Papers citing "Learning with a Wasserstein Loss"

50 / 181 papers shown

Title
Multi-subject MEG/EEG source imaging with sparse multi-task regression H. Janati Yonas T. Tadesse Bertrand Thirion Marco Cuturi Alexandre Gramfort 114 32 0 03 Oct 2019
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem Arpan Kusari BDL 17 0 0 02 Oct 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 69 32 0 19 Jul 2019
Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi Xin Yu Liu Liu Tong Zhang Hongdong Li ViT 63 163 0 11 Jul 2019
Learning Where to Look While Tracking Instruments in Robot-assisted Surgery Mobarakol Islam Yueyuan Li Hongliang Ren 95 45 0 29 Jun 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 80 93 0 19 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 60 72 0 13 Jun 2019
Wasserstein Weisfeiler-Lehman Graph Kernels Matteo Togninalli M. Ghisu Felipe Llinares-López Bastian Rieck Karsten Borgwardt 92 201 0 04 Jun 2019
Deep multi-class learning from label proportions Gabriel Dulac-Arnold Neil Zeghidour Marco Cuturi Lucas Beyer Jean-Philippe Vert 79 50 0 30 May 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem Dongdong Ge Haoyue Wang Zikai Xiong Yinyu Ye 72 28 0 30 May 2019
Wasserstein Style Transfer Youssef Mroueh OT 58 48 0 30 May 2019
Solving graph compression via optimal transport Vikas Garg Tommi Jaakkola OT 67 16 0 29 May 2019
Utility/Privacy Trade-off through the lens of Optimal Transport Etienne Boursier Vianney Perchet 59 8 0 27 May 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 131 33 0 26 May 2019
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation Rémi Flamary Karim Lounici A. Ferrari 73 24 0 24 May 2019
Geometric Losses for Distributional Learning A. Mensch Mathieu Blondel Gabriel Peyré 143 16 0 15 May 2019
Imputing Missing Events in Continuous-Time Event Streams Hongyuan Mei Guanghui Qin Jason Eisner AI4TS 75 41 0 14 May 2019
Learning Embeddings into Entropic Wasserstein Spaces Charlie Frogner F. Mirzazadeh Justin Solomon 74 32 0 08 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 109 44 0 01 May 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 81 25 0 08 Apr 2019
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition Lin Xu Han Sun Yuai Liu 3DPC 28 26 0 21 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation Chen-Yu Lee Tanmay Batra M. H. Baig Daniel Ulbricht 185 543 0 10 Mar 2019
Wasserstein Barycenter Model Ensembling Pierre Dognin Igor Melnyk Youssef Mroueh Jerret Ross Cicero Nogueira dos Santos Tom Sercu 79 25 0 13 Feb 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 77 302 0 01 Feb 2019
Tree-Sliced Variants of Wasserstein Distances Tam Le M. Yamada Kenji Fukumizu Marco Cuturi OT 93 84 0 01 Feb 2019
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures Bernard Bercu Jérémie Bigot 66 19 0 21 Dec 2018
Stochastic Deep Networks Gwendoline de Bie Gabriel Peyré Marco Cuturi 107 21 0 19 Nov 2018
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks Karren D. Yang Caroline Uhler GAN OT 92 76 0 26 Oct 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 100 533 0 18 Oct 2018
Sample Complexity of Sinkhorn divergences Aude Genevay Lénaïc Chizat Francis R. Bach Marco Cuturi Gabriel Peyré OT 102 291 0 05 Oct 2018
Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances Jialin Liu W. Yin Wuchen Li Y. T. Chow OT 41 37 0 29 Sep 2018
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 87 78 0 14 Sep 2018
Neural Network Encapsulation Hongyang Li Xiaoyang Guo Bo Dai Wanli Ouyang Xiaogang Wang 62 51 0 11 Aug 2018
Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation Ting-Yao Hu Xiaojun Chang Alexander G. Hauptmann 32 5 0 03 Aug 2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty Savas Ozkan G. Akar UQCV 109 14 0 03 Aug 2018
Variational Wasserstein Clustering Liang Mi Wen Zhang X. Gu Yalin Wang OT 123 43 0 23 Jun 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 170 70 0 19 Jun 2018
Equivalence Between Wasserstein and Value-Aware Loss for Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 70 11 0 01 Jun 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance Giulia Luise Alessandro Rudi Massimiliano Pontil C. Ciliberto OT 91 133 0 30 May 2018
Bayesian Learning with Wasserstein Barycenters Julio D. Backhoff Veraguas J. Fontbona Gonzalo Rios Felipe A. Tobar 64 31 0 28 May 2018
Wasserstein regularization for sparse multi-task regression H. Janati Marco Cuturi Alexandre Gramfort 167 50 0 20 May 2018
Computing Kantorovich-Wasserstein Distances on $d$ -dimensional histograms using $(d+1)$ -partite graphs Gennaro Auricchio F. Bassetti Stefano Gualandi Marco Veneroni 14 20 0 18 May 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model Soheil Kolouri Phillip E. Pope Charles E. Martin Gustavo K. Rohde 67 94 0 05 Apr 2018
On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows F. Bassetti Stefano Gualandi Marco Veneroni 22 11 0 02 Apr 2018
Distributed Computation of Wasserstein Barycenters over Networks César A. Uribe D. Dvinskikh Pavel Dvurechensky Alexander Gasnikov A. Nedić 56 53 0 08 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 331 2,169 0 01 Mar 2018
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates Henry W. J. Reeve J. Mellor Gavin Brown 64 28 0 01 Mar 2018
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization Antoine Rolet Vivien Seguy Mathieu Blondel H. Sawada OT 25 15 0 15 Feb 2018
On Wasserstein Reinforcement Learning and the Fokker-Planck equation Pierre Harvey Richemond B. Maginnis 70 24 0 19 Dec 2017
Structured Optimal Transport David Alvarez-Melis Tommi Jaakkola Stefanie Jegelka OT 77 71 0 17 Dec 2017