Bayesian & Probabilistic

Variance Networks: When Expectation Does Not Meet Your Expectations ICLR 2019 Variational Bayesian Decision-making for Continuous Utilities NeurIPS 2019 Variational Bayesian Multi-Channel Speech Dereverberation Under Noisy Environments with Probabilistic Convolutive Transfer Function Interspeech 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 Hierarchical User-based Conversation Model EMNLP 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 Information Distillation for Knowledge Transfer CVPR 2019 Variational Russian Roulette for Deep Bayesian Nonparametrics ICML 2019 Variational Temporal Abstraction NeurIPS 2019 Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs ICLR 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes NeurIPS 2019 Word Familiarity Rate Estimation Using a Bayesian Linear Mixed Model EMNLP 2019 XBART: Accelerated Bayesian Additive Regression Trees AISTATS 2019 3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces IJCAI 2018 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 A Bayesian Latent Variable Model of User Preferences with Item Context IJCAI 2018 A Bayesian Nonparametric View on Count-Min Sketch NeurIPS 2018 A Bayes-Sard Cubature Method NeurIPS 2018