variational inference

Dirichlet belief networks for topic structure learning NeurIPS 2018 Discretely Relaxing Continuous Variables for tractable Variational Inference NeurIPS 2018 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences NeurIPS 2018 DropMax: Adaptive Variational Softmax NeurIPS 2018 Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems CoNLL 2018 DVAE++: Discrete Variational Autoencoders with Overlapping Transformations ICML 2018 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Efficient Gradient-Free Variational Inference using Policy Search ICML 2018 Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition Interspeech 2018 Faithful Inversion of Generative Models for Effective Amortized Inference NeurIPS 2018 Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018 Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors Interspeech 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading CVPR 2018 Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics IJCAI 2018 Fixing a Broken ELBO ICML 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Gauged Mini-Bucket Elimination for Approximate Inference AISTATS 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018 Gaussian Process Conditional Density Estimation NeurIPS 2018 Gaussian Process Prior Variational Autoencoders NeurIPS 2018 Grounding Referring Expressions in Images by Variational Context CVPR 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 Heterogeneous Multi-output Gaussian Process Prediction NeurIPS 2018