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Uncoupled isotonic regression via minimum Wasserstein deconvolution

Uncoupled isotonic regression via minimum Wasserstein deconvolution

27 June 2018
Philippe Rigollet
Jonathan Niles-Weed
ArXivPDFHTML

Papers citing "Uncoupled isotonic regression via minimum Wasserstein deconvolution"

26 / 26 papers shown
Title
Massively scalable Sinkhorn distances via the Nyström method
Massively scalable Sinkhorn distances via the Nyström method
Jason M. Altschuler
Francis R. Bach
Alessandro Rudi
Jonathan Niles-Weed
26
109
0
12 Dec 2018
Entropic optimal transport is maximum-likelihood deconvolution
Entropic optimal transport is maximum-likelihood deconvolution
Philippe Rigollet
Jonathan Niles-Weed
OT
50
78
0
14 Sep 2018
Optimal estimation of Gaussian mixtures via denoised method of moments
Optimal estimation of Gaussian mixtures via denoised method of moments
Yihong Wu
Pengkun Yang
43
75
0
19 Jul 2018
Statistical Optimal Transport via Factored Couplings
Statistical Optimal Transport via Factored Couplings
Aden Forrow
Jan-Christian Hütter
Mor Nitzan
Philippe Rigollet
Geoffrey Schiebinger
Jonathan Niles-Weed
OT
88
69
0
19 Jun 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
140
2,133
0
01 Mar 2018
Linear Regression with Sparsely Permuted Data
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
68
72
0
16 Oct 2017
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
37
97
0
30 Aug 2017
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
56
587
0
26 May 2017
Linear regression without correspondence
Linear regression without correspondence
Daniel J. Hsu
K. Shi
Xiaorui Sun
68
82
0
19 May 2017
Linear Regression with Shuffled Labels
Linear Regression with Shuffled Labels
Abubakar Abid
Ada Poon
James Zou
117
65
0
03 May 2017
Denoising Linear Models with Permuted Data
Denoising Linear Models with Permuted Data
A. Pananjady
Martin J. Wainwright
T. Courtade
61
73
0
24 Apr 2017
Adaptive estimation of the sparsity in the Gaussian vector model
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier
Nicolas Verzélen
59
29
0
01 Mar 2017
Optimal rates of estimation for multi-reference alignment
Optimal rates of estimation for multi-reference alignment
Afonso S. Bandeira
Philippe Rigollet
Jonathan Niles-Weed
84
61
0
27 Feb 2017
Optimal Rates of Statistical Seriation
Optimal Rates of Statistical Seriation
Nicolas Flammarion
Cheng Mao
Philippe Rigollet
106
59
0
08 Jul 2016
Spectrum Estimation from Samples
Spectrum Estimation from Samples
Weihao Kong
Gregory Valiant
42
72
0
30 Jan 2016
Learning relationships between data obtained independently
Learning relationships between data obtained independently
Alexandra Carpentier
Teresa Schlueter
25
23
0
04 Jan 2016
Sharp oracle inequalities for Least Squares estimators in shape
  restricted regression
Sharp oracle inequalities for Least Squares estimators in shape restricted regression
Pierre C. Bellec
36
94
0
27 Oct 2015
Optimal rates for finite mixture estimation
Optimal rates for finite mixture estimation
P. Heinrich
J. Kahn
34
12
0
15 Jul 2015
Sharp oracle bounds for monotone and convex regression through
  aggregation
Sharp oracle bounds for monotone and convex regression through aggregation
Pierre C. Bellec
Alexandre B. Tsybakov
53
34
0
29 Jun 2015
Minimax rates for finite mixture estimation
Minimax rates for finite mixture estimation
P. Heinrich
J. Kahn
23
12
0
14 Apr 2015
Improved rates for Wasserstein deconvolution with ordinary smooth error
  in dimension one
Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one
J. Dedecker
A. Fischer
Bertrand Michel
40
9
0
02 Apr 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
135
4,210
0
04 Jun 2013
Minimax rates of convergence for Wasserstein deconvolution with
  supersmooth errors in any dimension
Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension
J. Dedecker
Bertrand Michel
37
18
0
25 Feb 2013
Testing composite hypotheses, Hermite polynomials and optimal estimation
  of a nonsmooth functional
Testing composite hypotheses, Hermite polynomials and optimal estimation of a nonsmooth functional
T. Tony Cai
Mark G. Low
62
86
0
16 May 2011
On deconvolution of distribution functions
On deconvolution of distribution functions
I. Dattner
A. Goldenshluger
A. Juditsky
76
65
0
20 Jun 2010
Settling the Polynomial Learnability of Mixtures of Gaussians
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra
Gregory Valiant
139
341
0
23 Apr 2010
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