Bayesian Inference

Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020 Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020 Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020 Domain Adaptation as a Problem of Inference on Graphical Models NeurIPS 2020 Efficient Rollout Strategies for Bayesian Optimization UAI 2020 Extrapolating the profile of a finite population COLT 2020 Free Energy Wells and Overlap Gap Property in Sparse PCA COLT 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation CVPR 2020 Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NeurIPS 2020 Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data PGM 2020 Implicit Generative Modeling for Efficient Exploration ICML 2020 Incorporating Interpretable Output Constraints in Bayesian Neural Networks NeurIPS 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Lifted Hybrid Variational Inference IJCAI 2020 Lifted Query Answering in Gaussian Bayesian Networks PGM 2020 Low Resource Sequence Tagging with Weak Labels AAAI 2020 Meta-trained agents implement Bayes-optimal agents NeurIPS 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Nonparametric Object and Parts Modeling With Lie Group Dynamics CVPR 2020 Pessimism About Unknown Unknowns Inspires Conservatism COLT 2020 Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Private Bayesian Persuasion with Sequential Games AAAI 2020 Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020