Bayesian Learning

A Direct Approximation of AIXI Using Logical State Abstractions NeurIPS 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022 A Hybrid Algorithm for Learning Causal Networks using Uncertain Experts’ Knowledge PGM 2022 All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022 Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022 Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck Interspeech 2022 Anytime Learning of Sum-Product and Sum-Product-Max Networks PGM 2022 A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022 Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022 BAM: Bayes with Adaptive Memory ICLR 2022 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022 Bayesian Deep Embedding Topic Meta-Learner ICML 2022 Bayesian federated estimation of causal effects from observational data UAI 2022 Bayesian Framework for Gradient Leakage ICLR 2022 Bayesian Invariant Risk Minimization CVPR 2022 Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022 Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022