Bayesian Inference

Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Correcting Predictions for Approximate Bayesian Inference AAAI 2020 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020 Crowd Counting with Decomposed Uncertainty AAAI 2020 Crowdsourcing with Multiple-Source Knowledge Transfer IJCAI 2020 Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning ICLR 2020 Data Uncertainty Learning in Face Recognition CVPR 2020 DeBayes: a Bayesian Method for Debiasing Network Embeddings ICML 2020 Decentralized Langevin Dynamics for Bayesian Learning NeurIPS 2020 Decision-Making with Auto-Encoding Variational Bayes NeurIPS 2020 Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior AAAI 2020 Deep Evidential Regression NeurIPS 2020 Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NeurIPS 2020 Deep Semi-Supervised Anomaly Detection ICLR 2020 Deep Sigma Point Processes UAI 2020 Deep Structured Mixtures of Gaussian Processes AISTATS 2020 Deep Transformers with Latent Depth NeurIPS 2020 Deep Unfolding Network for Image Super-Resolution CVPR 2020 Defense Through Diverse Directions ICML 2020 Dempster-Shafer Theoretic Learning of Indirect Speech Act Comprehension Norms AAAI 2020 Density-Based Clustering for 3D Object Detection in Point Clouds CVPR 2020 Depth Uncertainty in Neural Networks NeurIPS 2020