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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
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Papers

On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024
Score Operator Newton transport AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Coreset Markov chain Monte Carlo AISTATS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024
Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI COLING 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024
Measuring acoustic dissimilarity of hierarchical markers in task-oriented dialogue with MFCC-based dynamic time warping INTERSPEECH 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024
Spatial meshing for general Bayesian multivariate models JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024