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← Bayesian & Probabilistic
Machine Learning
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Bayesian & Probabilistic
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Bayesian Learning
455 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 20
2007: 17
2008: 14
2009: 18
2010: 20
2011: 19
2012: 35
2013: 27
2014: 26
2015: 11
2016: 19
2017: 14
2018: 25
2019: 24
2020: 42
2021: 20
2022: 32
2023: 18
2024: 38
2025: 10
Papers
BaKer-Nets: Bayesian Random Kernel Mapping Networks
IJCAI 2020
Bayesian Hierarchical Words Representation Learning
ACL 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions
L4DC 2020
L1-GP: L1 Adaptive Control with Bayesian Learning
L4DC 2020
Bayesian Learning with Adaptive Load Allocation Strategies
L4DC 2020
Learning supported Model Predictive Control for Tracking of Periodic References
L4DC 2020
Structure Learning from Related Data Sets with a Hierarchical Bayesian Score
PGM 2020
Localized active learning of Gaussian process state space models
L4DC 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling
L4DC 2020
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks
PGM 2020
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models
L4DC 2020
Compositional uncertainty in deep Gaussian processes
UAI 2020
Bayesian Online Prediction of Change Points
UAI 2020
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes
UAI 2020
Nonparametric Fisher Geometry with Application to Density Estimation
UAI 2020
GOBNILP: Learning Bayesian network structure with integer programming
PGM 2020
Bayesian Sparsification of Deep C-valued Networks
ICML 2020
Learning Bayesian Networks with Cops and Robbers
PGM 2020
Bayesian Network Model Averaging Classifiers by Subbagging
PGM 2020
A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations
PGM 2020
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion
JMLR 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers
PGM 2020
Multi-Speaker Text-to-Speech Synthesis Using Deep Gaussian Processes
INTERSPEECH 2020
Prediction of High Risk of Deviations in Home Care Deliveries
PGM 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes
AAAI 2020
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