latent variable model

Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Fast Near-GRID Gaussian Process Regression AISTATS 2013 Infinite Latent Conditional Random Fields for Modeling Environments through Humans RSS 2013 Latent Maximum Margin Clustering NeurIPS 2013 Latent Structured Active Learning NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013 Training Deformable Part Models with Decorrelated Features ICCV 2013 Unfolding Latent Tree Structures using 4th Order Tensors ICML 2013 Using multiple samples to learn mixture models NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 Bayesian Group Factor Analysis AISTATS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012