Bayesian & Probabilistic

Continual Deep Learning by Functional Regularisation of Memorable Past NeurIPS 2020 Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models JMLR 2020 Contrastive Divergence Learning with Chained Belief Propagation PGM 2020 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Correlated Equilibria for Approximate Variational Inference in MRFs PGM 2020 CREMA: A Java Library for Credal Network Inference PGM 2020 Data-driven confidence bands for distributed nonparametric regression COLT 2020 Data Uncertainty Learning in Face Recognition CVPR 2020 Decision-Making with Auto-Encoding Variational Bayes NeurIPS 2020 Deep Gaussian Markov Random Fields ICML 2020 Deep Generalized Convolutional Sum-Product Networks PGM 2020 Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NeurIPS 2020 Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare AAAI 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 Deep Sigma Point Processes UAI 2020 Detecting and Tracking Communal Bird Roosts in Weather Radar Data AAAI 2020 Detecting Media Bias in News Articles using Gaussian Bias Distributions EMNLP 2020 DGE: Deep Generative Network Embedding Based on Commonality and Individuality AAAI 2020 Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020