conftrace_
← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
36
'05
'10
'15
'20
'25

Papers

Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations IJCAI 2022
Updating Probability Intervals with Uncertain Inputs IJCAI 2022
Evidential Reasoning and Learning: a Survey IJCAI 2022
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks INTERSPEECH 2022
Joint Estimation of Direction-of-Arrival and Distance for Arrays with Directional Sensors based on Sparse Bayesian Learning INTERSPEECH 2022
Online Speaker Diarization with Core Samples Selection INTERSPEECH 2022
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck INTERSPEECH 2022
Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022
All You Need is a Good Functional Prior for Bayesian Deep Learning JMLR 2022
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022
Adversarial Robustness Guarantees for Gaussian Processes JMLR 2022
Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022