Bayesian Learning

Bayes-optimal learning of an extensive-width neural network from quadratically many samples NeurIPS 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NeurIPS 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme NeurIPS 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 Computational Aspects of Bayesian Persuasion under Approximate Best Response NeurIPS 2024 Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024 Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NeurIPS 2024 Coreset Markov chain Monte Carlo AISTATS 2024 Deep Bayesian Active Learning for Preference Modeling in Large Language Models NeurIPS 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA NeurIPS 2024 ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Estimation of partially known Gaussian graphical models with score-based structural priors AISTATS 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 General bounds on the quality of Bayesian coresets NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Idiographic Personality Gaussian Process for Psychological Assessment NeurIPS 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024