latent variable model

Linear dynamical neural population models through nonlinear embeddings NeurIPS 2016 Multiple Output Regression with Latent Noise JMLR 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Neural Variational Inference for Text Processing ICML 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 Probabilistic Inference with Generating Functions for Poisson Latent Variable Models NeurIPS 2016 Provable Algorithms for Inference in Topic Models ICML 2016 Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 Rich Component Analysis ICML 2016 Sequential Neural Models with Stochastic Layers NeurIPS 2016 Stochastic Variational Inference for the HDP-HMM AISTATS 2016 Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016 Towards Conceptual Compression NeurIPS 2016 Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis Interspeech 2016 Variational Bayes on Monte Carlo Steroids NeurIPS 2016 Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016 Variational Inference for Monte Carlo Objectives ICML 2016 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 A Gaussian Process Latent Variable Model for BRDF Inference ICCV 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions NeurIPS 2015 A Linear Dynamical System Model for Text ICML 2015 A Recurrent Latent Variable Model for Sequential Data NeurIPS 2015 A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015