← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NIPS 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes AISTATS 2022
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck INTERSPEECH 2022
Generalised GPLVM with Stochastic Variational Inference AISTATS 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion AISTATS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
Updating Probability Intervals with Uncertain Inputs IJCAI 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022
Evidential Reasoning and Learning: a Survey IJCAI 2022
Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations IJCAI 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games ICML 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NIPS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Tractable Uncertainty for Structure Learning ICML 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022