variational em

Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 GMNN: Graph Markov Neural Networks ICML 2019 Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018 Efficient Occlusive Components Analysis JMLR 2014 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005