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dirichlet distribution

58 papers

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uncertainty quantification (14) uncertainty estimation (11) evidential deep learning (7) out-of-distribution detection (6) bayesian inference (5) variational inference (5) probabilistic modeling (4) latent variable (3) topic model (3) variational autoencoder (3)

Papers

A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014 A Tensor Spectral Approach to Learning Mixed Membership Community Models COLT 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 A concave regularization technique for sparse mixture models NeurIPS 2011 Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010 Shadow Dirichlet for Restricted Probability Modeling NeurIPS 2010