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Bayesian Learning

1,734 papers

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Papers

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NeurIPS 2021 Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NeurIPS 2021 Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NeurIPS 2021 Repulsive Deep Ensembles are Bayesian NeurIPS 2021 Risk-Averse Bayes-Adaptive Reinforcement Learning NeurIPS 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NeurIPS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NeurIPS 2021 Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021 Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry AAAI 2021 Significance of Gradient Information in Bayesian Optimization AISTATS 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NeurIPS 2021 Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021 The Complexity of Bayesian Network Learning: Revisiting the Superstructure NeurIPS 2021 The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective NeurIPS 2021 The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain AISTATS 2021 Thompson Sampling Algorithms for Cascading Bandits JMLR 2021 Tighter Risk Certificates for Neural Networks JMLR 2021 Truncated Marginal Neural Ratio Estimation NeurIPS 2021 Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance EMNLP 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021