Learning GMMs with Nearly Optimal Robustness Guarantees

19 April 2021

Papers citing "Learning GMMs with Nearly Optimal Robustness Guarantees"

11 / 11 papers shown

Title
On Learning Parallel Pancakes with Mostly Uniform Weights Ilias Diakonikolas D. Kane Sushrut Karmalkar Jasper C. H. Lee Thanasis Pittas CoGe 44 0 0 21 Apr 2025
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior Yury Polyanskiy Mark Sellke 56 0 0 26 Mar 2025
Factor Adjusted Spectral Clustering for Mixture Models Shange Tang Soham Jana Jianqing Fan 27 0 0 22 Aug 2024
Distribution Learnability and Robustness Shai Ben-David Alex Bie Gautam Kamath Tosca Lechner 19 2 0 25 Jun 2024
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples Mohammad Afzali H. Ashtiani Christopher Liaw 19 5 0 07 Sep 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm Ilias Diakonikolas D. Kane Jasper C. H. Lee Ankit Pensia Thanasis Pittas 12 1 0 01 May 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models Jamil Arbas H. Ashtiani Christopher Liaw 32 23 0 07 Mar 2023
Minimax Rates for Robust Community Detection Allen Liu Ankur Moitra 13 13 0 25 Jul 2022
Robust Voting Rules from Algorithmic Robust Statistics Allen Liu Ankur Moitra 6 4 0 13 Dec 2021
Robust Model Selection and Nearly-Proper Learning for GMMs Jungshian Li Allen Liu Ankur Moitra 11 3 0 05 Jun 2021
Settling the Robust Learnability of Mixtures of Gaussians Allen Liu Ankur Moitra 9 41 0 06 Nov 2020