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On parameter estimation with the Wasserstein distance

On parameter estimation with the Wasserstein distance

18 January 2017
Espen Bernton
H. Shakespeare
Mathieu Gerber
Christian P. Robert
ArXivPDFHTML

Papers citing "On parameter estimation with the Wasserstein distance"

14 / 14 papers shown
Title
Robust Estimation under the Wasserstein Distance
Robust Estimation under the Wasserstein Distance
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
36
4
0
02 Feb 2023
Robust Bayesian Inference for Simulator-based Models via the MMD
  Posterior Bootstrap
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta
Jeremias Knoblauch
Theodoros Damoulas
F. Briol
28
42
0
09 Feb 2022
Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares
Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
OT
32
20
0
03 Dec 2021
Exact Statistical Inference for the Wasserstein Distance by Selective
  Inference
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
37
14
0
29 Sep 2021
Discrepancy-based Inference for Intractable Generative Models using
  Quasi-Monte Carlo
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo
Ziang Niu
J. Meier
F. Briol
32
12
0
22 Jun 2021
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
9
198
0
29 May 2018
ABC Samplers
ABC Samplers
Y. Fan
Scott A. Sisson
22
28
0
26 Feb 2018
Delayed acceptance ABC-SMC
Delayed acceptance ABC-SMC
R. Everitt
Paulina A. Rowińska
42
15
0
07 Aug 2017
Model Misspecification in ABC: Consequences and Diagnostics
Model Misspecification in ABC: Consequences and Diagnostics
David T. Frazier
Christian P. Robert
Judith Rousseau
34
27
0
07 Aug 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised
  non-linear dictionary learning
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
M. Schmitz
Matthieu Heitz
Nicolas Bonneel
Fred-Maurice Ngole-Mboula
D. Coeurjolly
Marco Cuturi
Gabriel Peyré
Jean-Luc Starck
OT
41
135
0
07 Aug 2017
GAN and VAE from an Optimal Transport Point of View
GAN and VAE from an Optimal Transport Point of View
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
DRL
32
62
0
06 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
61
619
0
01 Jun 2017
Sequential Monte Carlo Methods in the nimble R Package
Sequential Monte Carlo Methods in the nimble R Package
Nick Michaud
P. de Valpine
Daniel Turek
C. Paciorek
D. Nguyen
31
6
0
17 Mar 2017
An automatic adaptive method to combine summary statistics in
  approximate Bayesian computation
An automatic adaptive method to combine summary statistics in approximate Bayesian computation
Jonathan U. Harrison
R. Baker
40
17
0
07 Mar 2017
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