bayesian inference

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Deep Dirichlet Multinomial Regression NAACL 2018 Deep Neural Networks as Gaussian Processes ICLR 2018 Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation NeurIPS 2018 Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018 Differentially Private Bayesian Inference for Exponential Families NeurIPS 2018 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences NeurIPS 2018 Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback IJCAI 2018 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Efficient inference for time-varying behavior during learning NeurIPS 2018 Efficiently Sampling from Underlying Models RSS 2018 ELFI: Engine for Likelihood-Free Inference JMLR 2018 Evidential Deep Learning to Quantify Classification Uncertainty NeurIPS 2018 Exploration by Distributional Reinforcement Learning IJCAI 2018 Fast Threshold Tests for Detecting Discrimination AISTATS 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NeurIPS 2018 Gaussian Process Behaviour in Wide Deep Neural Networks ICLR 2018 Gaussian Process Conditional Density Estimation NeurIPS 2018 Gaussian Process Neural Networks for Speech Recognition Interspeech 2018 Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Implicit Causal Models for Genome-wide Association Studies ICLR 2018