Clustering Mixtures with Almost Optimal Separation in Polynomial Time

1 December 2021

Papers citing "Clustering Mixtures with Almost Optimal Separation in Polynomial Time"

17 / 17 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
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures Gen Li Changxiao Cai Yuting Wei DiffM 20 1 0 07 Apr 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 72 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
Robust Mixture Learning when Outliers Overwhelm Small Groups Daniil Dmitriev Rares-Darius Buhai Stefan Tiegel Alexander Wolters Gleb Novikov Amartya Sanyal David Steurer Fanny Yang 27 1 0 22 Jul 2024
Active clustering with bandit feedback Victor Thuot Alexandra Carpentier Christophe Giraud Nicolas Verzélen 14 3 0 17 Jun 2024
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation Ilias Diakonikolas Daniel M. Kane Jasper C. H. Lee Thanasis Pittas 11 2 0 19 Dec 2023
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples Mohammad Afzali H. Ashtiani Christopher Liaw 19 5 0 07 Sep 2023
Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah Sitan Chen Adam R. Klivans DiffM 29 37 0 03 Jul 2023
SQ Lower Bounds for Learning Bounded Covariance GMMs Ilias Diakonikolas D. Kane Thanasis Pittas Nikos Zarifis 17 0 0 22 Jun 2023
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models Jamil Arbas H. Ashtiani Christopher Liaw 32 23 0 07 Mar 2023
Private estimation algorithms for stochastic block models and mixture models Hongjie Chen Vincent Cohen-Addad Tommaso dÓrsi Alessandro Epasto Jacob Imola David Steurer Stefan Tiegel FedML 30 19 0 11 Jan 2023
A Fourier Approach to Mixture Learning Mingda Qiao Guru Guruganesh A. S. Rawat Kumar Avinava Dubey Manzil Zaheer 7 4 0 05 Oct 2022
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes Amir Saberi Amir Najafi S. Motahari B. Khalaj 17 2 0 09 Sep 2022
Near-Linear Time and Fixed-Parameter Tractable Algorithms for Tensor Decompositions Arvind V. Mahankali David P. Woodruff Ziyun Zhang 17 5 0 15 Jul 2022
Beyond Parallel Pancakes: Quasi-Polynomial Time Guarantees for Non-Spherical Gaussian Mixtures Rares-Darius Buhai David Steurer CoGe 19 3 0 10 Dec 2021
SoS Degree Reduction with Applications to Clustering and Robust Moment Estimation David Steurer Stefan Tiegel 19 10 0 05 Jan 2021