Bayesian & Probabilistic

Pessimism About Unknown Unknowns Inspires Conservatism COLT 2020 PGM_PyLib: A Toolkit for Probabilistic Graphical Models in Python PGM 2020 PIDS: An Intelligent Electric Power Management Platform AAAI 2020 Pitfalls of Learning a Reward Function Online IJCAI 2020 PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020 Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NeurIPS 2020 Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020 Prediction of High Risk of Deviations in Home Care Deliveries PGM 2020 Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020 Private Bayesian Persuasion with Sequential Games AAAI 2020 Private Outsourced Bayesian Optimization ICML 2020 Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020 Probabilistic Circuits for Variational Inference in Discrete Graphical Models NeurIPS 2020 Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020 Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020 Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations NeurIPS 2020 Probabilistic Object Detection: Definition and Evaluation WACV 2020 Probabilistic Orientation Estimation with Matrix Fisher Distributions NeurIPS 2020 Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling EMNLP 2020 Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020 Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics L4DC 2020 Probabilistic Super Resolution for Mineral Spectroscopy AAAI 2020 Probabilistic Symmetries and Invariant Neural Networks JMLR 2020 Probabilistic Time Series Forecasting with Shape and Temporal Diversity NeurIPS 2020