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1806.10648
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Uncoupled isotonic regression via minimum Wasserstein deconvolution
27 June 2018
Philippe Rigollet
Jonathan Niles-Weed
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Papers citing
"Uncoupled isotonic regression via minimum Wasserstein deconvolution"
26 / 26 papers shown
Title
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
Philippe Rigollet
Jonathan Niles-Weed
OT
50
78
0
14 Sep 2018
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
Aden Forrow
Jan-Christian Hütter
Mor Nitzan
Philippe Rigollet
Geoffrey Schiebinger
Jonathan Niles-Weed
OT
88
69
0
19 Jun 2018
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
140
2,133
0
01 Mar 2018
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
68
72
0
16 Oct 2017
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
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
56
587
0
26 May 2017
Linear regression without correspondence
Daniel J. Hsu
K. Shi
Xiaorui Sun
68
82
0
19 May 2017
Linear Regression with Shuffled Labels
Abubakar Abid
Ada Poon
James Zou
117
65
0
03 May 2017
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
Alexandra Carpentier
Nicolas Verzélen
59
29
0
01 Mar 2017
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
Nicolas Flammarion
Cheng Mao
Philippe Rigollet
106
59
0
08 Jul 2016
Spectrum Estimation from Samples
Weihao Kong
Gregory Valiant
42
72
0
30 Jan 2016
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
Pierre C. Bellec
36
94
0
27 Oct 2015
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
Pierre C. Bellec
Alexandre B. Tsybakov
53
34
0
29 Jun 2015
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
J. Dedecker
A. Fischer
Bertrand Michel
40
9
0
02 Apr 2014
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
J. Dedecker
Bertrand Michel
37
18
0
25 Feb 2013
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
I. Dattner
A. Goldenshluger
A. Juditsky
76
65
0
20 Jun 2010
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra
Gregory Valiant
139
341
0
23 Apr 2010
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