Bayesian & Probabilistic

I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers AISTATS 2025 KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems ICML 2025 keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection SemEval 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks ICLR 2025 KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting ICLR 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 Label Distribution Learning using the Squared Neural Family on the Probability Simplex UAI 2025 LEAPS: A discrete neural sampler via locally equivariant networks ICML 2025 Learnability of Parameter-Bounded Bayes Nets AAAI 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning Monotonic Probabilities with a Generative Cost Model ICML 2025 Learning multivariate Gaussians with imperfect advice ICML 2025 Learning Parametric Distributions from Samples and Preferences ICML 2025 Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport ICLR 2025 Learning to Collaborate with Unknown Agents in the Absence of Reward AAAI 2025 Learning with Confidence UAI 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes ICML 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Long-time asymptotics of noisy SVGD outside the population limit ICLR 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025 LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025