Bayesian Inference

Parameter estimation in state space models using particle importance sampling AISTATS 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Pareto-frontier Entropy Search with Variational Lower Bound Maximization ICML 2025 Pareto Set Identification With Posterior Sampling AISTATS 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025 Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization ICCV 2025 PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty WACV 2025 pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 Physics-Informed Generative Modeling of Wireless Channels ICML 2025 Pick-to-Learn and Self-Certified Gaussian Process Approximations AISTATS 2025 PIPA: Preference Alignment as Prior-Informed Statistical Estimation ICML 2025 Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference ICML 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025 Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025 Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025 Predicting the Predictable in the Psychiatric High Risk MLHC 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025