Bayesian Inference

Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization ICML 2025 Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards EMNLP 2025 MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media NAACL 2025 Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks ICLR 2025 Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025 Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values ACL 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) COLT 2025 Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Model-based Large Language Model Customization as Service EMNLP 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings ACL 2025 Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025 MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025 Most Probable Explanation in Probabilistic Answer Set Programming IJCAI 2025 MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling EMNLP 2025 Multimodal Speech-Based Biomarkers Outperform the ALS Functional Rating Scale in Predicting Individual Disease Progression in ALS Interspeech 2025 Multimodal Variational Autoencoder: A Barycentric View AAAI 2025 Multi-Objective Causal Bayesian Optimization ICML 2025 Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 Navigating Conflicting Views: Harnessing Trust for Learning ICML 2025 Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling ICML 2025 NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction CVPR 2025