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Bayesian Learning

455 papers

Papers per year

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Papers

Generalized Variational Inference via Optimal Transport AAAI 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024
Sparse Variational Student-t Processes AAAI 2024
Dynamic Knowledge Injection for AIXI Agents AAAI 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 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
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression JMLR 2024
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023