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Fast Computation of Wasserstein Barycenters

16 October 2013

Papers citing "Fast Computation of Wasserstein Barycenters"

50 / 358 papers shown

Title
Costs and Benefits of Fair Regression Han Zhao FaML 88 10 0 16 Jun 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 160 41 0 16 Jun 2021
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds Q. Mérigot F. Santambrogio Clément Sarrazin 64 30 0 15 Jun 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks Xinyi Wang Wenhu Chen Michael Stephen Saxon Wenjie Wang OOD CML BDL 158 1 0 07 Jun 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 153 39 0 05 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications Luis Caicedo Torres Luiz Manella Pereira M. Amini OOD OT 101 53 0 03 Jun 2021
Estimation and Quantization of Expected Persistence Diagrams Vincent Divol Théo Lacombe 106 10 0 11 May 2021
Sampling From the Wasserstein Barycenter Chiheb Daaloul Thibaut Le Gouic J. Liandrat M. I. O. Technology 89 6 0 04 May 2021
Iterative Alignment Flows Zeyu Zhou Ziyu Gong Pradeep Ravikumar David I. Inouye OT DRL 163 5 0 15 Apr 2021
A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss Stephen X. Zhang 46 5 0 04 Apr 2021
Landmarks Augmentation with Manifold-Barycentric Oversampling Iaroslav Bespalov N. Buzun Oleg Kachan Dmitry V. Dylov MedIm 103 4 0 02 Apr 2021
Selective information exchange in collaborative clustering using regularized Optimal Transport Fatima Ezzahraa Ben Bouazza Younès Bennani 43 0 0 22 Mar 2021
SPOT: A framework for selection of prototypes using optimal transport Karthik S. Gurumoorthy Pratik Jawanpuria Bamdev Mishra OT 121 12 0 18 Mar 2021
Multiview Sensing With Unknown Permutations: An Optimal Transport Approach Yanting Ma P. Boufounos Hassan Mansour Shuchin Aeron 60 1 0 12 Mar 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 110 64 0 08 Mar 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport Elsa Cazelles Felipe A. Tobar J. Fontbona OT 150 13 0 26 Feb 2021
Mitigating Domain Mismatch in Face Recognition Using Style Matching Chun-Hsien Lin Bing-Fei Wu CVBM 81 4 0 26 Feb 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 99 12 0 24 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 133 77 0 15 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 82 9 0 14 Feb 2021
On the Existence of Optimal Transport Gradient for Learning Generative Models Antoine Houdard Arthur Leclaire Nicolas Papadakis Julien Rabin OT GAN 106 6 0 10 Feb 2021
Projection Robust Wasserstein Barycenters Minhui Huang Shiqian Ma Lifeng Lai 155 13 0 05 Feb 2021
The Fourier Discrepancy Function Auricchio Gennaro Codegoni Andrea Gualandi Stefano Zambon Lorenzo 36 8 0 05 Feb 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax OptimizationInternational Conference on Learning Representations (ICLR), 2025 Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 157 57 0 02 Feb 2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence M. Dedeoglu Sen Lin Zhaofeng Zhang Junshan Zhang 110 2 0 22 Jan 2021
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric M. Pegoraro Mario Beraha 50 15 0 22 Jan 2021
A Generalized Weisfeiler-Lehman Graph Kernel T. Schulz Tamás Horváth Pascal Welke Stefan Wrobel 89 31 0 20 Jan 2021
Sketching Merge Trees for Scientific Data Visualization Mingzhe Li Sourabh Palande Lin Yan Bei Wang 82 8 0 08 Jan 2021
Wasserstein barycenters are NP-hard to compute Jason M. Altschuler Enric Boix-Adserà OT 368 49 0 04 Jan 2021
Making transport more robust and interpretable by moving data through a small number of anchor pointsInternational Conference on Machine Learning (ICML), 2024 Chi-Heng Lin Mehdi Azabou Eva L. Dyer OT OOD 199 23 0 21 Dec 2020
Distributed Wasserstein Barycenters via Displacement Interpolation Pedro Cisneros-Velarde Francesco Bullo 73 4 0 15 Dec 2020
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees F. Heinemann Axel Munk Y. Zemel 110 18 0 11 Dec 2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space Jianming Huang Zhongxi Fang Hiroyuki Kasai 154 20 0 07 Dec 2020
Matching Distributions via Optimal Transport for Semi-Supervised Learning Fariborz Taherkhani Hadi Kazemi Ali Dabouei J. Dawson Nasser M. Nasrabadi OT 141 1 0 04 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric Xing 97 2 0 25 Nov 2020
Wasserstein k-means with sparse simplex projectionInternational Conference on Pattern Recognition (ICPR), 2022 Takumi Fukunaga Hiroyuki Kasai 86 13 0 25 Nov 2020
MMD-Regularized Unbalanced Optimal Transport Piyushi Manupriya SakethaNath Jagarlapudi Pratik Jawanpuria OT 332 5 0 10 Nov 2020
A contribution to Optimal Transport on incomparable spaces Titouan Vayer OT 150 20 0 09 Nov 2020
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 102 47 0 30 Oct 2020
Distributed Learning of Finite Gaussian Mixtures Qiong Zhang Jiahua Chen 198 9 0 20 Oct 2020
Wasserstein K-Means for Clustering Tomographic Projections R. Rao Amit Moscovich A. Singer 84 15 0 20 Oct 2020
Double Robust Representation Learning for Counterfactual Prediction Shuxi Zeng Serge Assaad Chenyang Tao Shounak Datta Lawrence Carin Fan Li OOD CML 113 6 0 15 Oct 2020
Permutation invariant networks to learn Wasserstein metrics Arijit Sehanobish N. Ravindra David van Dijk OOD 81 2 0 12 Oct 2020
Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters Mathieu Barré Clément Giron M. Mazzolini Alexandre d’Aspremont OT 23 4 0 06 Oct 2020
$A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition$ A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition Oliver M. Crook Mihai Cucuringu Tim Hurst Carola-Bibiane Schönlieb Matthew Thorpe K. Zygalakis 88 7 0 23 Sep 2020
Chemical Property Prediction Under Experimental Biases Yang Liu H. Kashima AI4CE 90 4 0 18 Sep 2020
Continuous Regularized Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2025 Lingxiao Li Aude Genevay Mikhail Yurochkin Justin Solomon 114 51 0 28 Aug 2020
Long-Term Effect Estimation with Surrogate Representation Lu Cheng Ruocheng Guo Huan Liu CML 108 20 0 19 Aug 2020
Polynomial-time algorithms for Multimarginal Optimal Transport problems with structure Jason M. Altschuler Enric Boix-Adserà 174 34 0 07 Aug 2020
Sinkhorn Barycenter via Functional Gradient Descent Zebang Shen Zhenfu Wang Alejandro Ribeiro Hamed Hassani 110 10 0 20 Jul 2020