Bayesian Inference
1,087 papers
Papers per year
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28
33
40
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33
38
52
63
58
43
49
23
27
48
52
52
67
55
94
91
101
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Papers
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NeurIPS 2022
BayesAdapter: Being Bayesian, Inexpensively and
Reliably, via Bayesian Fine-tuning
ACML 2022
Bayesian Change-Point Detection for Bandit Feedback
in Non-stationary Environments
ACML 2022
Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling
PGM 2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
CVPR 2022
Bayesian Persuasion in Sequential Decision-Making
AAAI 2022
ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons
ACL 2022
Combining Constraint Solving and Bayesian Techniques for System Optimization
IJCAI 2022
Constrained Policy Optimization via Bayesian World Models
ICLR 2022
Curiosity-Driven Exploration via Latent Bayesian Surprise
AAAI 2022
Deep Hierarchy in Bandits
ICML 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
AISTATS 2022
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation
COLING 2022
Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination
CVPR 2022
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
NeurIPS 2022
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation
UAI 2022
Highly Efficient Structural Learning of Sparse Staged Trees
PGM 2022
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
AAAI 2022
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
PGM 2022
Learning Noisy-Or Networks with an Application in Linguistics
PGM 2022
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
NeurIPS 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling
COLT 2022
Nonparametric Relational Models with Superrectangulation
AISTATS 2022