bayesian inference

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net NeurIPS 2018 An Efficient Minibatch Acceptance Test for Metropolis-Hastings IJCAI 2018 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 A Scalable Laplace Approximation for Neural Networks ICLR 2018 Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NeurIPS 2018 Batch Active Preference-Based Learning of Reward Functions CoRL 2018 Bayesian Approaches to Distribution Regression AISTATS 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Bayesian Inference of Temporal Task Specifications from Demonstrations NeurIPS 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences AISTATS 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018 Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks ICML 2018 Beauty-in-averageness and its contextual modulations: A Bayesian statistical account NeurIPS 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Boosting Black Box Variational Inference NeurIPS 2018 Boosting Variational Inference: an Optimization Perspective AISTATS 2018 BRUNO: A Deep Recurrent Model for Exchangeable Data NeurIPS 2018 BUT System for DIHARD Speech Diarization Challenge 2018 Interspeech 2018 Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Contour location via entropy reduction leveraging multiple information sources NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 2018