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Global Rates of Convergence of the MLEs of Log-concave and s-concave Densities

6 June 2013

Papers citing "Global Rates of Convergence of the MLEs of Log-concave and s-concave Densities"

25 / 25 papers shown

Title
Log-concave density estimation in undirected graphical models Kaie Kubjas Olga Kuznetsova Elina Robeva Pardis Semnani Luca Sodomaco 36 1 0 10 Jun 2022
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 Rina Foygel Barber R. Samworth 80 6 0 14 Feb 2020
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 Brian Axelrod Ilias Diakonikolas Anastasios Sidiropoulos Alistair Stewart Gregory Valiant 86 9 0 18 Jul 2019
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
Central limit theorems for the $L_p$ -error of smooth isotonic estimators H. P. Lopuhaa Eni Musta 15 3 0 31 May 2018
Concave regression: value-constrained estimation and likelihood ratio-based inference Charles R. Doss 55 3 0 24 May 2018
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 R. Samworth 59 76 0 10 Sep 2017
A Bayesian nonparametric approach to log-concave density estimation Ester Mariucci Kolyan Ray Botond Szabó 89 11 0 28 Mar 2017
A Statistical Learning Approach to Modal Regression Yunlong Feng Jun Fan Johan A. K. Suykens 81 78 0 20 Feb 2017
A central limit theorem for the Hellinger loss of Grenander type estimators H. P. Lopuhaa Eni Musta 50 6 0 20 Dec 2016
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 Ilias Diakonikolas D. Kane Alistair Stewart 78 30 0 09 Jun 2016
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 Q. Han J. Wellner 71 48 0 25 Jan 2016
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 Ilias Diakonikolas D. Kane Vladimir Nikishkin 71 48 0 22 Aug 2015
Sample-Optimal Density Estimation in Nearly-Linear Time Jayadev Acharya Ilias Diakonikolas Jingkai Li Ludwig Schmidt 117 91 0 01 Jun 2015
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 F. Balabdaoui Charles R. Doss 107 19 0 18 Nov 2014
On Convex Least Squares Estimation when the Truth is Linear Yining Chen J. Wellner 44 13 0 17 Nov 2014
Log-concavity and strong log-concavity: a review Adrien Saumard J. Wellner 138 282 0 23 Apr 2014
Global rates of convergence in log-concave density estimation Arlene K. H. Kim R. Samworth 110 105 0 08 Apr 2014