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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025
Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025
Cross-Framework Generalizable Discourse Relation Classification Through Cognitive Dimensions NAACL 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
Generalized Variational Inference via Optimal Transport AAAI 2024
Dynamic Knowledge Injection for AIXI Agents AAAI 2024