Robustly Learning Mixtures of $k$ Arbitrary Gaussians

3 December 2020

Papers citing "Robustly Learning Mixtures of $k$ Arbitrary Gaussians"

12 / 12 papers shown

Title
Learning High-dimensional Gaussians from Censored Data Arnab Bhattacharyya C. Daskalakis Themis Gouleakis Yuhao Wang 31 0 0 28 Apr 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 74 0 0 20 Feb 2025
Entangled Mean Estimation in High-Dimensions Ilias Diakonikolas D. Kane Sihan Liu Thanasis Pittas 33 1 0 10 Jan 2025
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 35 4 0 05 Nov 2024
Minimax Rates for Robust Community Detection Allen Liu Ankur Moitra 18 13 0 25 Jul 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering Ilias Zadik M. Song Alexander S. Wein Joan Bruna 9 35 0 07 Dec 2021
Kalman Filtering with Adversarial Corruptions Sitan Chen Frederic Koehler Ankur Moitra Morris Yau AAML 27 10 0 11 Nov 2021
Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally Pravesh Kothari Peter Manohar Brian Hu Zhang 10 16 0 22 Oct 2021
Learning GMMs with Nearly Optimal Robustness Guarantees Allen Liu Ankur Moitra 21 15 0 19 Apr 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition Ilias Diakonikolas D. Kane Alistair Stewart Yuxin Sun 22 15 0 03 Feb 2021
Settling the Robust Learnability of Mixtures of Gaussians Allen Liu Ankur Moitra 22 41 0 06 Nov 2020
List Decodable Subspace Recovery P. Raghavendra Morris Yau 28 25 0 07 Feb 2020