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Bayesian Learning

1663 directly classified papers

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Papers

On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021
Infinite Time Horizon Safety of Bayesian Neural Networks NIPS 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Latent Derivative Bayesian Last Layer Networks AISTATS 2021
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain NIPS 2021
Hyperparameter Transfer Learning with Adaptive Complexity AISTATS 2021
Marginalised Gaussian Processes with Nested Sampling NIPS 2021
Truncated Marginal Neural Ratio Estimation NIPS 2021
Deconditional Downscaling with Gaussian Processes NIPS 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
Learnable uncertainty under Laplace approximations UAI 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021
Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021
Hierarchical infinite relational model UAI 2021
Probability Paths and the Structure of Predictions over Time NIPS 2021
Quantifying Contextual Aspects of Inter-annotator Agreement in Intertextuality Research EMNLP 2021
Bayesian Latent Factor Model for Higher-order Data ACML 2021
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification NIPS 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
Efficient Bayesian network structure learning via local Markov boundary search NIPS 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NIPS 2021
The Complexity of Bayesian Network Learning: Revisiting the Superstructure NIPS 2021