An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization

10 June 2017

Papers citing "An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization"

12 / 12 papers shown

Title
Moving Past Single Metrics: Exploring Short-Text Clustering Across Multiple Resolutions Justin K. Miller Tristram J. Alexander 61 1 0 24 Feb 2025
Manifold learning and optimization using tangent space proxies Ryan A. Robinett Lorenzo Orecchia Samantha J. Riesenfeld 43 0 0 22 Jan 2025
Riemannian Optimization for Variance Estimation in Linear Mixed Models L. Sembach J. P. Burgard Volker Schulz 6 0 0 18 Dec 2022
A sampling-based approach for efficient clustering in large datasets Georgios Exarchakis Omar Oubari Gregor Lenz 25 5 0 29 Dec 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 21 38 0 01 Jun 2021
A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture Models L. Sembach J. P. Burgard Volker Schulz 18 3 0 30 Apr 2021
Image Modeling with Deep Convolutional Gaussian Mixture Models A. Gepperth Benedikt Pfülb BDL VLM 31 7 0 19 Apr 2021
Large-Sample Properties of Blind Estimation of the Linear Discriminant Using Projection Pursuit Una Radojicic K. Nordhausen Joni Virta 18 3 0 08 Mar 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size Alain Durmus P. Jiménez Eric Moulines Salem Said 29 12 0 15 Feb 2021
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 28 17 0 11 Aug 2020
Autonomous Cave Surveying with an Aerial Robot Wennie Tabib K. Goel John W. Yao Curtis Boirum Nathan Michael 33 47 0 31 Mar 2020
Training Faster by Separating Modes of Variation in Batch-normalized Models Mahdi M. Kalayeh M. Shah 27 42 0 07 Jun 2018