Bayesian & Probabilistic

ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence AISTATS 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation AAAI 2025 An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025 A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations CVPR 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 A Quantum Information Theoretic Approach to Tractable Probabilistic Models UAI 2025 A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation AISTATS 2025 A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery ICLR 2025 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior ACL 2025 Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrödinger Equation AAAI 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025 A Unified Framework for Human-Allied Learning of Probabilistic Circuits AAAI 2025 A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025 Backward Filtering Forward Guiding JMLR 2025 Batch, match, and patch: low-rank approximations for score-based variational inference AISTATS 2025 Bayesian Circular Regression with von Mises Quasi-Processes AISTATS 2025 Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025 Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems AISTATS 2025