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Robust Learning of Mixtures of Gaussians

Robust Learning of Mixtures of Gaussians

12 July 2020
D. Kane
ArXiv (abs)PDFHTML

Papers citing "Robust Learning of Mixtures of Gaussians"

17 / 17 papers shown
Title
Learning High-dimensional Gaussians from Censored Data
Learning High-dimensional Gaussians from Censored Data
Arnab Bhattacharyya
C. Daskalakis
Themis Gouleakis
Yuhao Wang
95
0
0
28 Apr 2025
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Yury Polyanskiy
Mark Sellke
84
1
0
26 Mar 2025
Big Learning Expectation Maximization
Big Learning Expectation Maximization
Yulai Cong
Sijia Li
63
2
0
19 Dec 2023
Clustering Mixtures of Bounded Covariance Distributions Under Optimal
  Separation
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation
Ilias Diakonikolas
Daniel M. Kane
Jasper C. H. Lee
Thanasis Pittas
75
1
0
19 Dec 2023
Learning Mixtures of Gaussians Using the DDPM Objective
Learning Mixtures of Gaussians Using the DDPM Objective
Kulin Shah
Sitan Chen
Adam R. Klivans
DiffM
100
42
0
03 Jul 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in
  Relative Frobenius Norm
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
Thanasis Pittas
98
1
0
01 May 2023
Tensor Moments of Gaussian Mixture Models: Theory and Applications
Tensor Moments of Gaussian Mixture Models: Theory and Applications
João M. Pereira
Joe Kileel
T. Kolda
105
8
0
14 Feb 2022
Robust Voting Rules from Algorithmic Robust Statistics
Robust Voting Rules from Algorithmic Robust Statistics
Allen Liu
Ankur Moitra
46
4
0
13 Dec 2021
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Clustering Mixtures with Almost Optimal Separation in Polynomial Time
Jingkai Li
Allen Liu
64
23
0
01 Dec 2021
Lower Bounds on the Total Variation Distance Between Mixtures of Two
  Gaussians
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
Sami Davies
A. Mazumdar
S. Pal
Cyrus Rashtchian
77
11
0
02 Sep 2021
Estimating Gaussian mixtures using sparse polynomial moment systems
Estimating Gaussian mixtures using sparse polynomial moment systems
J. Lindberg
Carlos Améndola
J. Rodriguez
56
9
0
29 Jun 2021
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean
  Estimation
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation
Ilias Diakonikolas
D. Kane
Daniel Kongsgaard
Jingkai Li
Kevin Tian
FedML
76
21
0
16 Jun 2021
Robust Model Selection and Nearly-Proper Learning for GMMs
Robust Model Selection and Nearly-Proper Learning for GMMs
Jungshian Li
Allen Liu
Ankur Moitra
69
3
0
05 Jun 2021
Learning GMMs with Nearly Optimal Robustness Guarantees
Learning GMMs with Nearly Optimal Robustness Guarantees
Allen Liu
Ankur Moitra
50
15
0
19 Apr 2021
Robustly Learning Mixtures of $k$ Arbitrary Gaussians
Robustly Learning Mixtures of kkk Arbitrary Gaussians
Ainesh Bakshi
Ilias Diakonikolas
Hengrui Jia
D. Kane
Pravesh Kothari
Santosh Vempala
86
65
0
03 Dec 2020
Settling the Robust Learnability of Mixtures of Gaussians
Settling the Robust Learnability of Mixtures of Gaussians
Allen Liu
Ankur Moitra
81
42
0
06 Nov 2020
Online and Distribution-Free Robustness: Regression and Contextual
  Bandits with Huber Contamination
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
78
35
0
08 Oct 2020
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