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Papers
Piecewise Latent Variables for Neural Variational Text Processing
EMNLP 2017
Principles for Learning Controllable TTS from Annotated and Latent Variation
Interspeech 2017
ShapeOdds: Variational Bayesian Learning of Generative Shape Models
CVPR 2017
Tensor Decomposition with Missing Indices
IJCAI 2017
Variational Recurrent Neural Networks for Speech Separation
Interspeech 2017
Z-Forcing: Training Stochastic Recurrent Networks
NeurIPS 2017
A Hybrid Causal Search Algorithm for Latent Variable Models
PGM 2016
An Architecture for Deep, Hierarchical Generative Models
NeurIPS 2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators
Interspeech 2016
A PAC RL Algorithm for Episodic POMDPs
AISTATS 2016
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
JMLR 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
ICML 2016
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
NeurIPS 2016
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
ICML 2016
Deep Survival Analysis
MLHC 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
ICML 2016
Diversity-Promoting Bayesian Learning of Latent Variable Models
ICML 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference
AISTATS 2016
Hierarchical Variational Models
ICML 2016
Improved Variational Inference with Inverse Autoregressive Flow
NeurIPS 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
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
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