Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM

3 January 2021

Papers citing "Improved Convergence Guarantees for Learning Gaussian Mixture Models by EM and Gradient EM"

6 / 6 papers shown

Title
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu Maryam Fazel Simon S. Du 38 1 0 29 Jun 2024
Active clustering with bandit feedback Victor Thuot Alexandra Carpentier Christophe Giraud Nicolas Verzélen 16 4 0 17 Jun 2024
Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah Sitan Chen Adam R. Klivans DiffM 34 37 0 03 Jul 2023
Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers Yiji Zhou K. Gallivan Adrian Barbu 18 1 0 28 Feb 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis Zhu Wang Sourav Medya Sathya Ravi VLM 28 0 0 11 Feb 2023
Unsupervised spectral-band feature identification for optimal process discrimination Akash Tiwari Satish Bukkapatnam 16 1 0 07 Dec 2022