Bayesian & Probabilistic

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 Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020 Wide Neural Networks with Bottlenecks are Deep Gaussian Processes JMLR 2020 Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs COLING 2020 Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract) IJCAI 2020 A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation COLT 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CoRL 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 Adaptive Gaussian Copula ABC AISTATS 2019 Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning IJCAI 2019 Adding Constraints to Bayesian Inverse Problems AAAI 2019 A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles AAAI 2019 A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations UAI 2019 A Flexible Generative Framework for Graph-based Semi-supervised Learning NeurIPS 2019 A Generalization Bound for Online Variational Inference ACML 2019 A Latent Variational Framework for Stochastic Optimization NeurIPS 2019 Aligning Vector-spaces with Noisy Supervised Lexicon NAACL 2019 Alleviating Label Switching with Optimal Transport NeurIPS 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019 An Algorithm to Learn Polytree Networks with Hidden Nodes NeurIPS 2019 Analyzing Inverse Problems with Invertible Neural Networks ICLR 2019