Bayesian Learning

Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020 Structure Learning from Related Data Sets with a Hierarchical Bayesian Score PGM 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NeurIPS 2020 The impact of preprint servers in the formation of novel ideas EMNLP 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020 Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020 Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020 Towards Scalable Bayesian Learning of Causal DAGs NeurIPS 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020 Tuning Causal Discovery Algorithms PGM 2020 Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation NeurIPS 2020 Uncertainty-guided Continual Learning with Bayesian Neural Networks ICLR 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020 Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks COLING 2020 UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses SemEval 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs COLING 2020 A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CoRL 2019