Bayesian Learning

Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Dynamic Knowledge Injection for AIXI Agents AAAI 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024 Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Variational Student-t Processes AAAI 2024