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On matrix estimation under monotonicity constraints
v1v2v3 (latest)

On matrix estimation under monotonicity constraints

10 June 2015
S. Chatterjee
Adityanand Guntuboyina
B. Sen
ArXiv (abs)PDFHTML

Papers citing "On matrix estimation under monotonicity constraints"

38 / 38 papers shown
Learning the Distribution Map in Reverse Causal Performative Prediction
Learning the Distribution Map in Reverse Causal Performative Prediction
Daniele Bracale
Subha Maity
Moulinath Banerjee
Yuekai Sun
284
4
0
24 May 2024
Optimal Confidence Bands for Shape-restricted Regression in
  Multidimensions
Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
Ashley Datta
Datta
Somabha Mukherjee
Bodhisattva Sen
166
0
0
23 Jan 2024
Simultaneous inference for monotone and smoothly time-varying functions
  under complex temporal dynamics
Simultaneous inference for monotone and smoothly time-varying functions under complex temporal dynamicsJournal of the American Statistical Association (JASA), 2023
Tianpai Luo
Weichi Wu
209
0
0
03 Oct 2023
Differentiable Neural Networks with RePU Activation: with Applications
  to Score Estimation and Isotonic Regression
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
Guohao Shen
Yuling Jiao
Yuanyuan Lin
Jian Huang
295
5
0
01 May 2023
Posterior Contraction and Testing for Multivariate Isotonic Regression
Posterior Contraction and Testing for Multivariate Isotonic RegressionElectronic Journal of Statistics (EJS), 2022
Kang-Kang Wang
S. Ghosal
194
4
0
22 Nov 2022
Coverage of Credible Intervals in Bayesian Multivariate Isotonic
  Regression
Coverage of Credible Intervals in Bayesian Multivariate Isotonic RegressionAnnals of Statistics (Ann. Stat.), 2022
Kangkang Wang
S. Ghosal
195
7
0
22 Nov 2022
Noisy linear inverse problems under convex constraints: Exact risk
  asymptotics in high dimensions
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensionsAnnals of Statistics (Ann. Stat.), 2022
Q. Han
236
5
0
20 Jan 2022
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via
  Adaptive Confidence Bands
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
S. Chatterjee
Subhabrata Sen
OffRL
160
5
0
19 Oct 2021
Isotonic regression with unknown permutations: Statistics, computation,
  and adaptation
Isotonic regression with unknown permutations: Statistics, computation, and adaptationAnnals of Statistics (Ann. Stat.), 2020
A. Pananjady
R. Samworth
191
29
0
05 Sep 2020
Confidence intervals for multiple isotonic regression and other monotone
  models
Confidence intervals for multiple isotonic regression and other monotone modelsAnnals of Statistics (Ann. Stat.), 2020
Hang Deng
Q. Han
Cun-Hui Zhang
452
17
0
20 Jan 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
168
3
0
28 Nov 2019
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded
  Variation Functions by Optimal Decision Trees
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision TreesAnnals of Statistics (Ann. Stat.), 2019
S. Chatterjee
Subhajit Goswami
381
18
0
26 Nov 2019
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Optimal Permutation Recovery in Permuted Monotone Matrix ModelJournal of the American Statistical Association (JASA), 2019
Rong Ma
T. Tony Cai
Hongzhe Li
138
26
0
24 Nov 2019
On Least Squares Estimation under Heteroscedastic and Heavy-Tailed
  Errors
On Least Squares Estimation under Heteroscedastic and Heavy-Tailed ErrorsAnnals of Statistics (Ann. Stat.), 2019
Arun K. Kuchibhotla
Rohit Patra
324
11
0
04 Sep 2019
Limit distribution theory for block estimators in multiple isotonic
  regression
Limit distribution theory for block estimators in multiple isotonic regressionAnnals of Statistics (Ann. Stat.), 2019
Q. Han
Cun-Hui Zhang
284
14
0
30 May 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
232
20
0
30 May 2019
Estimating Piecewise Monotone Signals
Estimating Piecewise Monotone SignalsElectronic Journal of Statistics (EJS), 2019
Kentaro Minami
176
10
0
06 May 2019
Estimation of Monge Matrices
Estimation of Monge Matrices
Jan-Christian Hütter
Cheng Mao
Philippe Rigollet
Elina Robeva
133
10
0
05 Apr 2019
Multivariate extensions of isotonic regression and total variation
  denoising via entire monotonicity and Hardy-Krause variation
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
Billy Fang
Adityanand Guntuboyina
B. Sen
304
32
0
04 Mar 2019
Cost-Effective Incentive Allocation via Structured Counterfactual
  Inference
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez
Chenchen Li
X. Yan
Junwu Xiong
Sai Li
Yuan Qi
Le Song
OffRL
226
19
0
07 Feb 2019
New Risk Bounds for 2D Total Variation Denoising
New Risk Bounds for 2D Total Variation Denoising
S. Chatterjee
Subhajit Goswami
302
21
0
04 Feb 2019
Adaptation in multivariate log-concave density estimation
Adaptation in multivariate log-concave density estimation
Oliver Y. Feng
Adityanand Guntuboyina
Arlene K. H. Kim
R. Samworth
273
15
0
30 Dec 2018
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Isotonic Regression in Multi-Dimensional Spaces and Graphs
Hang Deng
Cun-Hui Zhang
249
28
0
21 Dec 2018
Loss Functions, Axioms, and Peer Review
Loss Functions, Axioms, and Peer Review
Ritesh Noothigattu
Nihar B. Shah
Ariel D. Procaccia
201
45
0
27 Aug 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
239
15
0
25 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 TimeAnnual Conference Computational Learning Theory (COLT), 2018
Cheng Mao
A. Pananjady
Martin J. Wainwright
235
14
0
27 Feb 2018
Nonparametric Shape-restricted Regression
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
275
75
0
17 Sep 2017
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
194
106
0
30 Aug 2017
Adaptation in log-concave density estimation
Adaptation in log-concave density estimation
Arlene K. H. Kim
Adityanand Guntuboyina
R. Samworth
205
46
0
03 Sep 2016
Optimal Rates of Statistical Seriation
Optimal Rates of Statistical Seriation
Nicolas Flammarion
Cheng Mao
Philippe Rigollet
345
62
0
08 Jul 2016
Optimal rates for total variation denoising
Optimal rates for total variation denoising
Jan-Christian Hütter
Philippe Rigollet
244
33
0
30 Mar 2016
On Estimation in Tournaments and Graphs under Monotonicity Constraints
On Estimation in Tournaments and Graphs under Monotonicity Constraints
S. Chatterjee
Soumendu Sundar Mukherjee
303
32
0
15 Mar 2016
Denoising Flows on Trees
Denoising Flows on Trees
S. Chatterjee
John D. Lafferty
148
2
0
25 Feb 2016
Adaptive confidence sets in shape restricted regression
Adaptive confidence sets in shape restricted regression
Pierre C. Bellec
161
3
0
21 Jan 2016
Adaptive Risk Bounds in Unimodal Regression
Adaptive Risk Bounds in Unimodal Regression
S. Chatterjee
John D. Lafferty
321
37
0
09 Dec 2015
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
263
101
0
27 Oct 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
410
153
0
19 Oct 2015
On Degrees of Freedom of Projection Estimators with Applications to
  Multivariate Nonparametric Regression
On Degrees of Freedom of Projection Estimators with Applications to Multivariate Nonparametric Regression
Xi Chen
Qihang Lin
B. Sen
346
24
0
07 Sep 2015
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