latent variable model

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing ICCV 2015 Deep Exponential Families AISTATS 2015 Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015 Fast and Guaranteed Tensor Decomposition via Sketching NeurIPS 2015 Gaussian Process Random Fields NeurIPS 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Latent Bayesian melding for integrating individual and population models NeurIPS 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection ICCV 2015 Multi-instance multi-label learning in the presence of novel class instances ICML 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 Weakly Supervised Object Detection With Convex Clustering CVPR 2015 A Discriminative Latent Variable Model for Online Clustering ICML 2014 Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs JMLR 2014 Black Box Variational Inference AISTATS 2014