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1607.02435
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Optimal Rates of Statistical Seriation
8 July 2016
Nicolas Flammarion
Cheng Mao
Philippe Rigollet
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Papers citing
"Optimal Rates of Statistical Seriation"
32 / 32 papers shown
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein
Yanjun Han
Philippe Rigollet
George Stepaniants
OT
273
4
0
22 Nov 2023
Optimal rates for ranking a permuted isotonic matrix in polynomial time
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2023
Emmanuel Pilliat
Alexandra Carpentier
Nicolas Verzélen
202
3
0
02 Oct 2023
Active Ranking of Experts Based on their Performances in Many Tasks
International Conference on Machine Learning (ICML), 2023
E. Saad
Nicolas Verzélen
Alexandra Carpentier
183
7
0
05 Jun 2023
Optimal Permutation Estimation in Crowd-Sourcing problems
Annals of Statistics (Ann. Stat.), 2022
Emmanuel Pilliat
Alexandra Carpentier
Nicolas Verzélen
326
4
0
08 Nov 2022
Matching Map Recovery with an Unknown Number of Outliers
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
A. Minasyan
T. Galstyan
Sona Hunanyan
A. Dalalyan
369
3
0
24 Oct 2022
Shuffled total least squares
Qian Wang
D. Sussman
231
2
0
02 Sep 2022
Modeling and Correcting Bias in Sequential Evaluation
ACM Conference on Economics and Computation (EC), 2022
Jingyan Wang
A. Pananjady
396
3
0
03 May 2022
Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
T. Tony Cai
Rong Ma
292
7
0
17 Jan 2022
Consistency of Spectral Seriation
A. Natik
Aaron Smith
356
7
0
08 Dec 2021
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zhenbang Wang
E. Ben-David
M. Slawski
327
3
0
02 Nov 2021
Optimal detection of the feature matching map in presence of noise and outliers
Electronic Journal of Statistics (EJS), 2021
T. Galstyan
A. Minasyan
A. Dalalyan
343
11
0
13 Jun 2021
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
Annals of Statistics (Ann. Stat.), 2020
A. Pananjady
R. Samworth
259
30
0
05 Sep 2020
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix
Rong Ma
T. Tony Cai
Hongzhe Li
229
3
0
28 Nov 2019
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Journal of the American Statistical Association (JASA), 2019
Rong Ma
T. Tony Cai
Hongzhe Li
186
27
0
24 Nov 2019
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
M. Slawski
E. Ben-David
Ping Li
283
52
0
16 Jul 2019
Estimation of Monge Matrices
Jan-Christian Hütter
Cheng Mao
Philippe Rigollet
Elina Robeva
204
10
0
05 Apr 2019
Sample Complexity of Nonparametric Semi-Supervised Learning
Chen Dan
Liu Leqi
Bryon Aragam
Pradeep Ravikumar
Eric Xing
187
0
0
10 Sep 2018
Uncoupled isotonic regression via minimum Wasserstein deconvolution
Information and Inference A Journal of the IMA (JIII), 2018
Philippe Rigollet
Jonathan Niles-Weed
216
72
0
27 Jun 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
302
15
0
25 Jun 2018
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression
Devavrat Shah
Dogyoon Song
277
0
0
09 Mar 2018
Breaking the
1
/
n
1/\sqrt{n}
1/
n
Barrier: Faster Rates for Permutation-based Models in Polynomial Time
Annual Conference Computational Learning Theory (COLT), 2018
Cheng Mao
A. Pananjady
Martin J. Wainwright
371
14
0
27 Feb 2018
Minimax estimation in linear models with unknown design over finite alphabets
Merle Behr
Axel Munk
254
2
0
11 Nov 2017
Minimax Rates and Efficient Algorithms for Noisy Sorting
International Conference on Algorithmic Learning Theory (ALT), 2017
Cheng Mao
Jonathan Niles-Weed
Philippe Rigollet
484
44
0
28 Oct 2017
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
455
81
0
16 Oct 2017
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
400
78
0
17 Sep 2017
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
427
19
0
01 Sep 2017
Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons
A. Pananjady
Cheng Mao
Vidya Muthukumar
Martin J. Wainwright
T. Courtade
229
22
0
19 Jul 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model
Yihua Li
Devavrat Shah
Dogyoon Song
Chao Yu
853
25
0
13 May 2017
Denoising Linear Models with Permuted Data
A. Pananjady
Martin J. Wainwright
T. Courtade
225
76
0
24 Apr 2017
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2016
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
FedML
371
47
0
30 Jun 2016
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
245
3
0
21 Jan 2016
Adaptive Risk Bounds in Unimodal Regression
S. Chatterjee
John D. Lafferty
397
37
0
09 Dec 2015
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