Robustly Learning any Clusterable Mixture of Gaussians

13 May 2020

Papers citing "Robustly Learning any Clusterable Mixture of Gaussians"

10 / 10 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 76 0 0 20 Feb 2025
SQ Lower Bounds for Learning Bounded Covariance GMMs Ilias Diakonikolas D. Kane Thanasis Pittas Nikos Zarifis 25 0 0 22 Jun 2023
Near Optimal Private and Robust Linear Regression Xiyang Liu Prateek Jain Weihao Kong Sewoong Oh A. Suggala 38 9 0 30 Jan 2023
Efficient List-Decodable Regression using Batches Abhimanyu Das Ayush Jain Weihao Kong Rajat Sen 26 4 0 23 Nov 2022
Kalman Filtering with Adversarial Corruptions Sitan Chen Frederic Koehler Ankur Moitra Morris Yau AAML 27 10 0 11 Nov 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 24 15 0 03 Feb 2021
Settling the Robust Learnability of Mixtures of Gaussians Allen Liu Ankur Moitra 29 41 0 06 Nov 2020
Outlier-Robust Clustering of Non-Spherical Mixtures Ainesh Bakshi Pravesh Kothari 19 31 0 06 May 2020