Robust Learning of Mixtures of Gaussians

1. 2023Learning Mixtures of Gaussians Using the DDPM Objectivecited by 56
2. 2021Clustering Mixtures with Almost Optimal Separation in Polynomial Timecited by 28
3. 2021Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimationcited by 21
4. 2021Learning GMMs with Nearly Optimal Robustness Guaranteescited by 12
5. 2022Tensor Moments of Gaussian Mixture Models: Theory and Applicationscited by 7
6. 2024Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Modelscited by 5
7. 2021Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussianscited by 4
8. 2021Robust Model Selection and Nearly-Proper Learning for GMMscited by 3
9. 2023Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separationcited by 3
10. 2025Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behaviorcited by 3
11. 2023Big Learning Expectation Maximizationcited by 2
12. 2021Robust Voting Rules from Algorithmic Robust Statisticscited by 1

1. 2026Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms8 Jan 2026
2. 2025Learning High-dimensional Gaussians from Censored Data28 Apr 2025
3. 2025Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior26 Mar 2025
4. 2024Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models23 Nov 2024
5. 2023Big Learning Expectation Maximization19 Dec 2023
6. 2023Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation19 Dec 2023
7. 2023Learning Mixtures of Gaussians Using the DDPM Objective3 Jul 2023
8. 2023A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm1 May 2023
9. 2022Tensor Moments of Gaussian Mixture Models: Theory and Applications14 Feb 2022
10. 2021Robust Voting Rules from Algorithmic Robust Statistics13 Dec 2021
11. 2021Clustering Mixtures with Almost Optimal Separation in Polynomial Time1 Dec 2021
12. 2021Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians2 Sep 2021

1. 2023Learning Mixtures of Gaussians Using the DDPM Objectivecited by 56

1. 2023Learning Mixtures of Gaussians Using the DDPM Objective3 Jul 2023

1. 2021Clustering Mixtures with Almost Optimal Separation in Polynomial Timecited by 28
2. 2021Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimationcited by 21
3. 2021Learning GMMs with Nearly Optimal Robustness Guaranteescited by 12
4. 2022Tensor Moments of Gaussian Mixture Models: Theory and Applicationscited by 7
5. 2024Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Modelscited by 5
6. 2021Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussianscited by 4
7. 2021Robust Model Selection and Nearly-Proper Learning for GMMscited by 3
8. 2023Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separationcited by 3
9. 2025Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behaviorcited by 3
10. 2023Big Learning Expectation Maximizationcited by 2
11. 2021Robust Voting Rules from Algorithmic Robust Statisticscited by 1
12. 2023A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Normcited by 1

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1. 2026Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms8 Jan 2026
2. 2025Learning High-dimensional Gaussians from Censored Data28 Apr 2025
3. 2025Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior26 Mar 2025
4. 2024Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models23 Nov 2024
5. 2023Big Learning Expectation Maximization19 Dec 2023
6. 2023Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation19 Dec 2023
7. 2023A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm1 May 2023
8. 2022Tensor Moments of Gaussian Mixture Models: Theory and Applications14 Feb 2022
9. 2021Robust Voting Rules from Algorithmic Robust Statistics13 Dec 2021
10. 2021Clustering Mixtures with Almost Optimal Separation in Polynomial Time1 Dec 2021
11. 2021Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians2 Sep 2021
12. 2021Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation16 Jun 2021

12 newest of 14 · All 14 (JSON)