Probabilistic Modeling

Probabilistic Geometric Principal Component Analysis with application to neural data ICLR 2025 Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs UAI 2025 Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution ICLR 2025 Probabilistic Multimodal Learning with von Mises-Fisher Distributions IJCAI 2025 Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025 Probabilistic Soundness Guarantees in LLM Reasoning Chains EMNLP 2025 Probabilistic Strategy Logic with Degrees of Observability AAAI 2025 Probably Approximately Global Robustness Certification ICML 2025 ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025 ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks CVPR 2025 Protein Language Model Fitness is a Matter of Preference ICLR 2025 Provable weak-to-strong generalization via benign overfitting ICLR 2025 PUBLICSPEAK: Hearing the Public with a Probabilistic Framework AAAI 2025 Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering EMNLP 2025 Quantile Regression with Large Language Models for Price Prediction ACL 2025 Random-Set Neural Networks ICLR 2025 Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? ICLR 2025 REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025 Reasoning over Uncertain Text by Generative Large Language Models AAAI 2025 Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025 Regularized Dikin Walks for Sampling Truncated Logconcave Measures, Mixed Isoperimetry and Beyond Worst-Case Analysis COLT 2025 Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025 Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations UAI 2025 Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025