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Isotonic regression with unknown permutations: Statistics, computation,
  and adaptation

Isotonic regression with unknown permutations: Statistics, computation, and adaptation

5 September 2020
A. Pananjady
R. Samworth
ArXivPDFHTML

Papers citing "Isotonic regression with unknown permutations: Statistics, computation, and adaptation"

45 / 45 papers shown
Title
Unlinked monotone regression
Unlinked monotone regression
F. Balabdaoui
Charles R. Doss
C. Durot
43
11
0
02 Jul 2020
Tensor Clustering with Planted Structures: Statistical Optimality and
  Computational Limits
Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits
Yuetian Luo
Anru R. Zhang
80
44
0
21 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage
Reducibility and Statistical-Computational Gaps from Secret Leakage
Matthew Brennan
Guy Bresler
49
86
0
16 May 2020
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone
  Matrix
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix
Rong Ma
T. Tony Cai
Hongzhe Li
18
3
0
28 Nov 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
57
137
0
26 Jul 2019
Set structured global empirical risk minimizers are rate optimal in
  general dimensions
Set structured global empirical risk minimizers are rate optimal in general dimensions
Q. Han
26
20
0
30 May 2019
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Hang Deng
Cun-Hui Zhang
99
23
0
21 Dec 2018
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Philippe Rigollet
Jonathan Niles-Weed
38
64
0
27 Jun 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown
  Permutations
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
42
13
0
25 Jun 2018
Reducibility and Computational Lower Bounds for Problems with Planted
  Sparse Structure
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
Matthew Brennan
Guy Bresler
Wasim Huleihel
86
105
0
19 Jun 2018
Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based
  Models in Polynomial Time
Breaking the 1/n1/\sqrt{n}1/n​ Barrier: Faster Rates for Permutation-based Models in Polynomial Time
Cheng Mao
A. Pananjady
Martin J. Wainwright
53
13
0
27 Feb 2018
Minimax estimation in linear models with unknown design over finite
  alphabets
Minimax estimation in linear models with unknown design over finite alphabets
Merle Behr
Axel Munk
21
2
0
11 Nov 2017
On Integrated $L^{1}$ Convergence Rate of an Isotonic Regression
  Estimator for Multivariate Observations
On Integrated L1L^{1}L1 Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations
K. Fokianos
Anne Leucht
Michael H. Neumann
76
14
0
13 Oct 2017
Low Permutation-rank Matrices: Structural Properties and Noisy
  Completion
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
108
18
0
01 Sep 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
Contraction and uniform convergence of isotonic regression
Contraction and uniform convergence of isotonic regression
Fan Yang
Rina Foygel Barber
30
32
0
06 Jun 2017
Linear regression without correspondence
Linear regression without correspondence
Daniel J. Hsu
K. Shi
Xiaorui Sun
68
82
0
19 May 2017
On Estimation of Isotonic Piecewise Constant Signals
On Estimation of Isotonic Piecewise Constant Signals
Chao Gao
Fang Han
Cun-Hui Zhang
28
31
0
18 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
Learning from Comparisons and Choices
Learning from Comparisons and Choices
S. Negahban
Sewoong Oh
K. K. Thekumparampil
Jiaming Xu
35
39
0
24 Apr 2017
Tensor SVD: Statistical and Computational Limits
Tensor SVD: Statistical and Computational Limits
Anru R. Zhang
Dong Xia
44
168
0
08 Mar 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
48
67
0
16 Feb 2017
Optimal Rates of Statistical Seriation
Optimal Rates of Statistical Seriation
Nicolas Flammarion
Cheng Mao
Philippe Rigollet
106
59
0
08 Jul 2016
A Permutation-based Model for Crowd Labeling: Optimal Estimation and
  Robustness
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
FedML
36
44
0
30 Jun 2016
On Estimation in Tournaments and Graphs under Monotonicity Constraints
On Estimation in Tournaments and Graphs under Monotonicity Constraints
S. Chatterjee
Soumendu Sundar Mukherjee
95
27
0
15 Mar 2016
Learning relationships between data obtained independently
Learning relationships between data obtained independently
Alexandra Carpentier
Teresa Schlueter
23
23
0
04 Jan 2016
Adaptive Risk Bounds in Unimodal Regression
Adaptive Risk Bounds in Unimodal Regression
S. Chatterjee
John D. Lafferty
29
34
0
09 Dec 2015
On concentration for (regularized) empirical risk minimization
On concentration for (regularized) empirical risk minimization
Sara van de Geer
Martin J. Wainwright
28
26
0
02 Dec 2015
Stochastically Transitive Models for Pairwise Comparisons: Statistical
  and Computational Issues
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah
Sivaraman Balakrishnan
Adityanand Guntuboyina
Martin J. Wainwright
112
146
0
19 Oct 2015
Fast, Provable Algorithms for Isotonic Regression in all
  $\ell_{p}$-norms
Fast, Provable Algorithms for Isotonic Regression in all ℓp\ell_{p}ℓp​-norms
Rasmus Kyng
Anup B. Rao
Sushant Sachdeva
31
47
0
02 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
On matrix estimation under monotonicity constraints
On matrix estimation under monotonicity constraints
S. Chatterjee
Adityanand Guntuboyina
B. Sen
64
60
0
10 Jun 2015
Consistency of Spectral Hypergraph Partitioning under Planted Partition
  Model
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model
Debarghya Ghoshdastidar
Ambedkar Dukkipati
45
91
0
07 May 2015
Rate-optimal graphon estimation
Rate-optimal graphon estimation
Chao Gao
Yu Lu
Harrison H. Zhou
103
217
0
21 Oct 2014
Statistical and computational trade-offs in estimation of sparse
  principal components
Statistical and computational trade-offs in estimation of sparse principal components
Tengyao Wang
Quentin Berthet
R. Samworth
81
136
0
22 Aug 2014
Global rates of convergence in log-concave density estimation
Global rates of convergence in log-concave density estimation
Arlene K. H. Kim
R. Samworth
46
105
0
08 Apr 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
100
116
0
04 Feb 2014
On risk bounds in isotonic and other shape restricted regression
  problems
On risk bounds in isotonic and other shape restricted regression problems
S. Chatterjee
Adityanand Guntuboyina
B. Sen
61
138
0
15 Nov 2013
Stochastic blockmodel approximation of a graphon: Theory and consistent
  estimation
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
E. Airoldi
Thiago B. Costa
Stanley H. Chan
104
191
0
07 Nov 2013
Minimax rates in permutation estimation for feature matching
Minimax rates in permutation estimation for feature matching
O. Collier
A. Dalalyan
63
43
0
17 Oct 2013
Computational barriers in minimax submatrix detection
Computational barriers in minimax submatrix detection
Zongming Ma
Yihong Wu
140
149
0
23 Sep 2013
Concentration inequalities for sampling without replacement
Concentration inequalities for sampling without replacement
Rémi Bardenet
Odalric-Ambrym Maillard
54
166
0
16 Sep 2013
Empirical entropy, minimax regret and minimax risk
Empirical entropy, minimax regret and minimax risk
Alexander Rakhlin
Karthik Sridharan
Alexandre B. Tsybakov
117
81
0
06 Aug 2013
Matrix estimation by Universal Singular Value Thresholding
Matrix estimation by Universal Singular Value Thresholding
S. Chatterjee
276
523
0
06 Dec 2012
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
100
284
0
23 Feb 2012
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