Bayesian Inference

Bayesian Optimization via Continual Variational Last Layer Training ICLR 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025 Bayesian Regularization of Latent Representation ICLR 2025 Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025 Bayesian Score Calibration for Approximate Models JMLR 2025 Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025 Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments ICML 2025 BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios ACL 2025 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections AISTATS 2025 BECAME: Bayesian Continual Learning with Adaptive Model Merging ICML 2025 Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning ICML 2025 Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing CoRL 2025 Benchmarking Uncertainty Metrics for LLM Target-Aware Search EMNLP 2025 Better autoregressive regression with LLMs via regression-aware fine-tuning ICLR 2025 Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025 Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning EMNLP 2025 Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025 Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning IJCAI 2025 BILBO: BILevel Bayesian Optimization ICML 2025 BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models ICLR 2025 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL ICLR 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025