Bayesian Learning

Hierarchical infinite relational model UAI 2021 High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021 Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021 Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021 Infinite Time Horizon Safety of Bayesian Neural Networks NeurIPS 2021 Latent Derivative Bayesian Last Layer Networks AISTATS 2021 Learnable uncertainty under Laplace approximations UAI 2021 Learning Bayesian Networks from Ordinal Data JMLR 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Learning Fast-Inference Bayesian Networks NeurIPS 2021 Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021 Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021 Location Trace Privacy Under Conditional Priors AISTATS 2021 Marginalised Gaussian Processes with Nested Sampling NeurIPS 2021 Markov equivalence of max-linear Bayesian networks UAI 2021 MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021 Matérn Gaussian Processes on Graphs AISTATS 2021 MCMC Variational Inference via Uncorrected Hamiltonian Annealing NeurIPS 2021 Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021 Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NeurIPS 2021 Meta-Learning Reliable Priors in the Function Space NeurIPS 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021