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Randomised Wasserstein Barycenter Computation: Resampling with
  Statistical Guarantees
v1v2 (latest)

Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees

11 December 2020
F. Heinemann
Axel Munk
Y. Zemel
ArXiv (abs)PDFHTML

Papers citing "Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees"

10 / 10 papers shown
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Zhengqi Lin
Andrzej Ruszczynski
170
1
0
25 Jul 2025
Dataset Distillation via the Wasserstein Metric
Dataset Distillation via the Wasserstein Metric
Haoyang Liu
Yijiang Li
Tiancheng Xing
Ke Chen
Vibhu Dalal
Luwei Li
Jingrui He
Haohan Wang
DD
516
23
0
30 Nov 2023
Doubly Regularized Entropic Wasserstein Barycenters
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
321
16
0
21 Mar 2023
Estimation of the Sample Frechet Mean: A Convolutional Neural Network
  Approach
Estimation of the Sample Frechet Mean: A Convolutional Neural Network Approach
A. Sánchez
Franccois G. Meyer
190
0
0
13 Oct 2022
The GenCol algorithm for high-dimensional optimal transport: general
  formulation and application to barycenters and Wasserstein splines
The GenCol algorithm for high-dimensional optimal transport: general formulation and application to barycenters and Wasserstein splinesSIAM Journal on Mathematics of Data Science (SIMODS), 2022
G. Friesecke
Maximilian Penka
OT
340
12
0
19 Sep 2022
Wasserstein Distributionally Robust Optimization with Wasserstein
  Barycenters
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
Tim Tsz-Kit Lau
Han Liu
OOD
344
3
0
23 Mar 2022
Empirical Optimal Transport between Different Measures Adapts to Lower
  Complexity
Empirical Optimal Transport between Different Measures Adapts to Lower ComplexityAnnales De L Institut Henri Poincare-probabilites Et Statistiques (Ann. Inst. Henri Poincaré Probab. Stat.), 2022
Shayan Hundrieser
Thomas Staudt
Axel Munk
OT
233
31
0
21 Feb 2022
Approximative Algorithms for Multi-Marginal Optimal Transport and
  Free-Support Wasserstein Barycenters
Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters
Johannes von Lindheim
OT
191
5
0
02 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)TransformerMathematical Finance (Math. Finance), 2022
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
445
31
0
31 Jan 2022
Stochastic Saddle-Point Optimization for Wasserstein Barycenters
Stochastic Saddle-Point Optimization for Wasserstein BarycentersOptimization Letters (Optim. Lett.), 2020
D. Tiapkin
Alexander Gasnikov
Pavel Dvurechensky
208
8
0
11 Jun 2020
1
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