Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Bayesian & Probabilistic
Artificial Intelligence
›
Bayesian & Probabilistic
›
Bayesian Learning
1663 directly classified papers
Papers per year
2001: 1
2002: 3
2003: 4
2004: 2
2005: 2
2006: 33
2007: 42
2008: 53
2009: 48
2010: 48
2011: 53
2012: 61
2013: 93
2014: 77
2015: 52
2016: 67
2017: 63
2018: 94
2019: 134
2020: 137
2021: 152
2022: 142
2023: 161
2024: 86
2025: 36
2026: 19
Papers
Surveillance Evasion Through Bayesian Reinforcement Learning
AISTATS 2023
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
INTERSPEECH 2023
Robust Neural Posterior Estimation and Statistical Model Criticism
NIPS 2022
Learning large Bayesian networks with expert constraints
UAI 2022
Learning from Stochastically Revealed Preference
NIPS 2022
Multistate analysis with infinite mixtures of Markov chains
UAI 2022
Linearizing contextual bandits with latent state dynamics
UAI 2022
Perfect Sampling from Pairwise Comparisons
NIPS 2022
Robust Bayesian recourse
UAI 2022
Bayesian federated estimation of causal effects from observational data
UAI 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NIPS 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits
NIPS 2022
MidasTouch: Monte-Carlo inference over distributions across sliding touch
CORL 2022
On the inability of Gaussian process regression to optimally learn compositional functions
NIPS 2022
Generalized Bayesian quadrature with spectral kernels
UAI 2022
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
JMLR 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NIPS 2022
Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract)
IJCAI 2022
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets
UAI 2022
Bezier Gaussian Processes for Tall and Wide Data
NIPS 2022
Optimal Control with Learning on the Fly: System with Unknown Drift
L4DC 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems
L4DC 2022
Robust Bayesian Regression via Hard Thresholding
NIPS 2022
Byzantine-tolerant federated Gaussian process regression for streaming data
NIPS 2022
Independence Testing for Bounded Degree Bayesian Networks
NIPS 2022
<
1
…
12
13
14
…
67
>