1 citations · 1 across the 3 of their papers we have counts for
3 papers
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
TrungKhang Tran, TrungTin Nguyen, Gersende Fort +5
Processing high-volume, streaming data is increasingly common in modern statistics and machine learning, where batch-mode algorithms are often impractical because they require repe…
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings
Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah +2
Bayesian inference for complex models with an intractable likelihood can be tackled using algorithms performing many calls to computer simulators. These approaches are collectively…
A Component-wise EM Algorithm for Mixtures
Gilles Celeux, Stéphane Chrétien, Florence Forbes
In some situations, EM algorithm shows slow convergence problems. One possible reason is that standard procedures update the parameters simultaneously. In this paper we focus on fi…