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