Bayesian Inference

Variational Bayesian Dropout With a Hierarchical Prior CVPR 2019 Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 2019 Variational Bayesian Optimal Experimental Design NeurIPS 2019 Variational Bayesian Phylogenetic Inference ICLR 2019 Variational Bayes under Model Misspecification NeurIPS 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 Variational Convolutional Neural Network Pruning CVPR 2019 Variational Domain Adversarial Learning for Speaker Verification Interspeech 2019 Variational Few-Shot Learning ICCV 2019 Variational Implicit Processes ICML 2019 Variational Inference for sparse network reconstruction from count data ICML 2019 Variational Inference from Ranked Samples with Features ACML 2019 Variational Inference MPC for Bayesian Model-based Reinforcement Learning CoRL 2019 Variational Information Planning for Sequential Decision Making AISTATS 2019 Variational Noise-Contrastive Estimation AISTATS 2019 Variational Pretraining for Semi-supervised Text Classification ACL 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Variational Temporal Abstraction NeurIPS 2019 Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019 VIREL: A Variational Inference Framework for Reinforcement Learning NeurIPS 2019 ViVoLAB Speaker Diarization System for the DIHARD 2019 Challenge Interspeech 2019 Weak Supervision for Learning Discourse Structure EMNLP 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019