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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NIPS 2024
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024
On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NIPS 2024
Neural Bayes estimators for censored inference with peaks-over-threshold models JMLR 2024
Variational Delayed Policy Optimization NIPS 2024
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NIPS 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
Estimating the Hallucination Rate of Generative AI NIPS 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Jana: Jointly amortized neural approximation of complex Bayesian models UAI 2023
Autonomous Navigation, Mapping and Exploration with Gaussian Processes RSS 2023
Posterior Contraction for Deep Gaussian Process Priors JMLR 2023
Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023
Estimation of Counterfactual Interventions under Uncertainties ACML 2023
A Bayesian approach for bandit online optimization with switching cost UAI 2023
Joint Word and Morpheme Segmentation with Bayesian Non-Parametric Models EACL 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023