Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression

13 March 2019

Papers citing "Optimality of Maximum Likelihood for Log-Concave Density Estimation and Bounded Convex Regression"

9 / 9 papers shown

Title
A Sequential Test for Log-Concavity Aditya Gangrade Alessandro Rinaldo Aaditya Ramdas 38 12 0 09 Jan 2023
On the Minimal Error of Empirical Risk Minimization Gil Kur Alexander Rakhlin 6 5 0 24 Feb 2021
Handling Hard Affine SDP Shape Constraints in RKHSs Pierre-Cyril Aubin-Frankowski Z. Szabó 28 7 0 05 Jan 2021
Subgradient Regularized Multivariate Convex Regression at Scale Wenyu Chen Rahul Mazumder 29 8 0 23 May 2020
Exact Solutions in Log-Concave Maximum Likelihood Estimation Alexandros Grosdos Alexander Heaton Kaie Kubjas Olga Kuznetsova Georgy Scholten Miruna-Stefana Sorea 24 3 0 10 Mar 2020
Local continuity of log-concave projection, with applications to estimation under model misspecification Rina Foygel Barber R. Samworth 28 6 0 14 Feb 2020
Adaptation in multivariate log-concave density estimation Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim R. Samworth 39 13 0 30 Dec 2018
Learning mixtures of structured distributions over discrete domains Siu On Chan Ilias Diakonikolas Rocco A. Servedio Xiaorui Sun 88 83 0 02 Oct 2012
Learning convex bodies is hard Navin Goyal Luis Rademacher 63 24 0 07 Apr 2009