A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k

3 June 2015

Papers citing "A Nearly Optimal and Agnostic Algorithm for Properly Learning a Mixture of k Gaussians, for any Constant k"

7 / 7 papers shown

Title
Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering Bryon Aragam Chen Dan Eric Xing Pradeep Ravikumar 29 30 0 12 Feb 2018
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising Sujayam Saha Adityanand Guntuboyina 49 46 0 06 Dec 2017
Efficient Robust Proper Learning of Log-concave Distributions Ilias Diakonikolas D. Kane Alistair Stewart 43 30 0 09 Jun 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 37 510 0 21 Apr 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time Ilias Diakonikolas D. Kane Alistair Stewart 53 28 0 12 Nov 2015
Sample-Optimal Density Estimation in Nearly-Linear Time Jayadev Acharya Ilias Diakonikolas Jingkai Li Ludwig Schmidt 56 91 0 01 Jun 2015
Learning mixtures of structured distributions over discrete domains Siu On Chan Ilias Diakonikolas Rocco A. Servedio Xiaorui Sun 90 83 0 02 Oct 2012