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Global rates of convergence in log-concave density estimation
v1v2 (latest)

Global rates of convergence in log-concave density estimation

8 April 2014
Arlene K. H. Kim
R. Samworth
ArXiv (abs)PDFHTML

Papers citing "Global rates of convergence in log-concave density estimation"

50 / 56 papers shown
Title
On the tails of log-concave density estimators
On the tails of log-concave density estimators
Didier B. Ryter
Lutz Duembgen
MDE
18
0
0
26 Sep 2024
Log-concave Density Estimation with Independent Components
Log-concave Density Estimation with Independent Components
Sharvaj Kubal
Christian Campbell
Elina Robeva
44
0
0
03 Jan 2024
Testing Closeness of Multivariate Distributions via Ramsey Theory
Testing Closeness of Multivariate Distributions via Ramsey Theory
Ilias Diakonikolas
Daniel M. Kane
Sihan Liu
67
3
0
22 Nov 2023
On the Variance, Admissibility, and Stability of Empirical Risk
  Minimization
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Gil Kur
E. Putterman
Alexander Rakhlin
57
3
0
29 May 2023
A Sequential Test for Log-Concavity
A Sequential Test for Log-Concavity
Aditya Gangrade
Alessandro Rinaldo
Aaditya Ramdas
55
12
0
09 Jan 2023
Log-concave density estimation in undirected graphical models
Log-concave density estimation in undirected graphical models
Kaie Kubjas
Olga Kuznetsova
Elina Robeva
Pardis Semnani
Luca Sodomaco
36
1
0
10 Jun 2022
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
Efficient Minimax Optimal Estimators For Multivariate Convex Regression
Gil Kur
E. Putterman
54
0
0
06 May 2022
Universal Inference Meets Random Projections: A Scalable Test for
  Log-concavity
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
Robin Dunn
Aditya Gangrade
Larry A. Wasserman
Aaditya Ramdas
51
15
0
17 Nov 2021
Minimax Rates for Conditional Density Estimation via Empirical Entropy
Minimax Rates for Conditional Density Estimation via Empirical Entropy
Blair Bilodeau
Dylan J. Foster
Daniel M. Roy
113
24
0
21 Sep 2021
Parameterizing and Simulating from Causal Models
Parameterizing and Simulating from Causal Models
R. Evans
Vanessa Didelez
CML
92
19
0
08 Sep 2021
A new computational framework for log-concave density estimation
A new computational framework for log-concave density estimation
Wenyu Chen
Rahul Mazumder
R. Samworth
46
5
0
24 May 2021
On the Minimal Error of Empirical Risk Minimization
On the Minimal Error of Empirical Risk Minimization
Gil Kur
Alexander Rakhlin
44
5
0
24 Feb 2021
Confidence bands for a log-concave density
Confidence bands for a log-concave density
G. Walther
Alnur Ali
Xinyue Shen
Stephen P. Boyd
18
1
0
07 Nov 2020
On the cost of Bayesian posterior mean strategy for log-concave models
On the cost of Bayesian posterior mean strategy for log-concave models
S. Gadat
Fabien Panloup
Clément Pellegrini
57
7
0
08 Oct 2020
Isotonic regression with unknown permutations: Statistics, computation,
  and adaptation
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
A. Pananjady
R. Samworth
48
25
0
05 Sep 2020
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator
  in Mixture Models
Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models
Yury Polyanskiy
Yihong Wu
69
29
0
19 Aug 2020
Inference for local parameters in convexity constrained models
Inference for local parameters in convexity constrained models
Hang Deng
Q. Han
B. Sen
40
8
0
18 Jun 2020
Hessian-Free High-Resolution Nesterov Acceleration for Sampling
Hessian-Free High-Resolution Nesterov Acceleration for Sampling
Ruilin Li
H. Zha
Molei Tao
72
8
0
16 Jun 2020
Exact Solutions in Log-Concave Maximum Likelihood Estimation
Exact Solutions in Log-Concave Maximum Likelihood Estimation
Alexandros Grosdos
Alexander Heaton
Kaie Kubjas
Olga Kuznetsova
Georgy Scholten
Miruna-Stefana Sorea
70
3
0
10 Mar 2020
Local continuity of log-concave projection, with applications to
  estimation under model misspecification
Local continuity of log-concave projection, with applications to estimation under model misspecification
Rina Foygel Barber
R. Samworth
80
6
0
14 Feb 2020
Confidence intervals for multiple isotonic regression and other monotone
  models
Confidence intervals for multiple isotonic regression and other monotone models
Hang Deng
Q. Han
Cun-Hui Zhang
72
15
0
20 Jan 2020
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via
  Locally Exponential Families
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
Gregory Valiant
86
9
0
18 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
57
20
0
30 May 2019
High-dimensional nonparametric density estimation via symmetry and shape
  constraints
High-dimensional nonparametric density estimation via symmetry and shape constraints
Min Xu
R. Samworth
44
15
0
14 Mar 2019
Optimality of Maximum Likelihood for Log-Concave Density Estimation and
  Bounded Convex Regression
Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression
Gil Kur
Y. Dagan
Alexander Rakhlin
73
25
0
13 Mar 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
85
13
0
30 Dec 2018
Discrete minimax estimation with trees
Discrete minimax estimation with trees
Luc Devroye
Tommy Reddad
20
2
0
14 Dec 2018
Density estimation for shift-invariant multidimensional distributions
Density estimation for shift-invariant multidimensional distributions
Jonathan Levy
M. J. van der Laan
Rocco A. Servedio
OOD
57
5
0
09 Nov 2018
An Efficient Algorithm for High-Dimensional Log-Concave Maximum
  Likelihood
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood
Brian Axelrod
Gregory Valiant
41
4
0
08 Nov 2018
Central limit theorems for the $L_p$-error of smooth isotonic estimators
Central limit theorems for the LpL_pLp​-error of smooth isotonic estimators
H. P. Lopuhaa
Eni Musta
15
3
0
31 May 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation
  of Multivariate Log-concave Densities
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
66
24
0
28 Feb 2018
Recent progress in log-concave density estimation
Recent progress in log-concave density estimation
R. Samworth
59
76
0
10 Sep 2017
Methods for Estimation of Convex Sets
Methods for Estimation of Convex Sets
Victor-Emmanuel Brunel
62
19
0
10 Sep 2017
Isotonic regression in general dimensions
Isotonic regression in general dimensions
Q. Han
Tengyao Wang
S. Chatterjee
R. Samworth
48
98
0
30 Aug 2017
Fourier-Based Testing for Families of Distributions
Fourier-Based Testing for Families of Distributions
C. Canonne
Ilias Diakonikolas
Alistair Stewart
49
8
0
18 Jun 2017
A Bayesian nonparametric approach to log-concave density estimation
A Bayesian nonparametric approach to log-concave density estimation
Ester Mariucci
Kolyan Ray
Botond Szabó
89
11
0
28 Mar 2017
Variational Analysis of Constrained M-Estimators
Variational Analysis of Constrained M-Estimators
J. Royset
R. Wets
55
15
0
26 Feb 2017
Estimation bounds and sharp oracle inequalities of regularized
  procedures with Lipschitz loss functions
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions
Pierre Alquier
V. Cottet
Guillaume Lecué
257
60
0
05 Feb 2017
A central limit theorem for the Hellinger loss of Grenander type
  estimators
A central limit theorem for the Hellinger loss of Grenander type estimators
H. P. Lopuhaa
Eni Musta
50
6
0
20 Dec 2016
Univariate log-concave density estimation with symmetry or modal
  constraints
Univariate log-concave density estimation with symmetry or modal constraints
Charles R. Doss
J. Wellner
52
13
0
30 Nov 2016
Adaptation in log-concave density estimation
Adaptation in log-concave density estimation
Arlene K. H. Kim
Adityanand Guntuboyina
R. Samworth
64
45
0
03 Sep 2016
Efficient Robust Proper Learning of Log-concave Distributions
Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
78
30
0
09 Jun 2016
Learning Multivariate Log-concave Distributions
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
100
30
0
26 May 2016
Multivariate convex regression: global risk bounds and adaptation
Multivariate convex regression: global risk bounds and adaptation
Q. Han
J. Wellner
71
48
0
25 Jan 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial
  Time
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time
Ilias Diakonikolas
D. Kane
Alistair Stewart
104
28
0
12 Nov 2015
Optimal Algorithms and Lower Bounds for Testing Closeness of Structured
  Distributions
Optimal Algorithms and Lower Bounds for Testing Closeness of Structured Distributions
Ilias Diakonikolas
D. Kane
Vladimir Nikishkin
71
48
0
22 Aug 2015
Sample-Optimal Density Estimation in Nearly-Linear Time
Sample-Optimal Density Estimation in Nearly-Linear Time
Jayadev Acharya
Ilias Diakonikolas
Jingkai Li
Ludwig Schmidt
117
91
0
01 Jun 2015
Bracketing numbers of convex and $m$-monotone functions on polytopes
Bracketing numbers of convex and mmm-monotone functions on polytopes
Charles R. Doss
49
1
0
29 May 2015
Approximation and Estimation of s-Concave Densities via Rényi
  Divergences
Approximation and Estimation of s-Concave Densities via Rényi Divergences
Q. Han
J. Wellner
111
36
0
02 May 2015
Inference for a Two-Component Mixture of Symmetric Distributions under
  Log-Concavity
Inference for a Two-Component Mixture of Symmetric Distributions under Log-Concavity
F. Balabdaoui
Charles R. Doss
107
19
0
18 Nov 2014
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