conftrace_

latent variable model

564 papers

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Also known as

LVM

Co-occurring keywords

variational inference (2069) latent variable (541) variational autoencoder (1288) gaussian process (1200) bayesian inference (1907) generative model (2892) expectation maximization (255) unsupervised learning (3264) probabilistic modeling (852) probabilistic model (476)

Papers

Variational Inference for Latent Variables and Uncertain Inputs in Gaussian Processes JMLR 2016
Latent Point Process Allocation AISTATS 2016
Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016
Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis INTERSPEECH 2016
Discriminative Embeddings of Latent Variable Models for Structured Data ICML 2016
A PAC RL Algorithm for Episodic POMDPs AISTATS 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016
Rich Component Analysis ICML 2016
Improved Variational Inference with Inverse Autoregressive Flow NIPS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses JMLR 2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Variational Inference for Monte Carlo Objectives ICML 2016
Provable Algorithms for Inference in Topic Models ICML 2016
A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016
Neural Variational Inference for Text Processing ICML 2016
Hierarchical Variational Models ICML 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part II - Algorithm and Evaluation JMLR 2016
Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview JMLR 2016
Multiple Output Regression with Latent Noise JMLR 2016
Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016
Linear dynamical neural population models through nonlinear embeddings NIPS 2016
An Architecture for Deep, Hierarchical Generative Models NIPS 2016