Bayesian Inference

Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Calibrating LLMs with Information-Theoretic Evidential Deep Learning ICLR 2025 Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles ICCV 2025 Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty? COLING 2025 Can Transformers Learn Full Bayesian Inference in Context? ICML 2025 Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025 CASE: Large Scale Topic Exploitation for Decision Support Systems COLING 2025 Causal Discovery via Bayesian Optimization ICLR 2025 CBMA: Improving Conformal Prediction through Bayesian Model Averaging ICLR 2025 CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025 Censor Dependent Variational Inference ICML 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract) COLT 2025 Classifying Copy Number Variations Using State Space Modeling of Targeted Sequencing Data: A Case Study in Thalassemia MLHC 2025 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025 CMMLoc: Advancing Text-to-PointCloud Localization with Cauchy-Mixture-Model Based Framework CVPR 2025 Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion ICLR 2025 CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification IJCAI 2025 Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 COME: Test-time Adaption by Conservatively Minimizing Entropy ICLR 2025 Compositional simulation-based inference for time series ICLR 2025