bayesian learning

185 papers

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Co-occurring keywords

bayesian inference (1904) variational inference (2069) uncertainty quantification (1365) markov chain monte carlo (724) probabilistic modeling (851) posterior distribution (259) gaussian process (1198) transfer learning (5442) reinforcement learning (4122) stochastic gradient (296)

Papers

AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing AAAI 2026

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving AAAI 2026

On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025

Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025

Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025

Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective AAAI 2025

A Bayesian account of pronoun and neopronoun acquisition NAACL 2025

Cross-Framework Generalizable Discourse Relation Classification Through Cognitive Dimensions NAACL 2025

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024

Learning Sparse Codes with Entropy-Based ELBOs AISTATS 2024

Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024

Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024

Bayesian Online Learning for Consensus Prediction AISTATS 2024

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024

PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024

On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024

Truthful High Dimensional Sparse Linear Regression NIPS 2024

Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024

Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024

Sparse Variational Student-t Processes AAAI 2024

Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024