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variational expectation-maximization

10 papers

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Also known as

VEM

Co-occurring keywords · papers mentioning both

variational inference (6) generative model (3) expectation maximization (3) latent gaussian model (2) latent variable (2) markov chain monte carlo (2) deep latent gaussian model (1) shape representation (1) sparse canonical correlation analysis (1) graph neural network (1)

Papers

Discrete Structure Augmentation for Graph Convolutional Networks AAAI 2026 MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media NAACL 2025 Federated Neuro-Symbolic Learning ICML 2024 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NeurIPS 2020 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017 Stochastic Gradient Descent as Approximate Bayesian Inference JMLR 2017 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010 Sparse probabilistic projections NeurIPS 2008