latent variable

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Subset Infinite Relational Models AISTATS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012 Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables” AISTATS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 Message-Passing for Approximate MAP Inference with Latent Variables NeurIPS 2011 Mixed Cumulative Distribution Networks AISTATS 2011 Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NeurIPS 2011 Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NeurIPS 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 A Rotation Test to Verify Latent Structure JMLR 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Gated Softmax Classification NeurIPS 2010 Gaussian sampling by local perturbations NeurIPS 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010 Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010 Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010 Reduced-Rank Hidden Markov Models AISTATS 2010 Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NeurIPS 2010 The Multidimensional Wisdom of Crowds NeurIPS 2010 Clustering sequence sets for motif discovery NeurIPS 2009