Bayesian & Probabilistic

Generative Uncertainty in Diffusion Models UAI 2025 GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models EMNLP 2025 Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature UAI 2025 Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold UAI 2025 Harnessing Causality in Reinforcement Learning with Bagged Decision Times AISTATS 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025 High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders ICLR 2025 Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning ICLR 2025 Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals UAI 2025 Identifiability for Gaussian Processes with Holomorphic Kernels ICLR 2025 Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection WACV 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy AAAI 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models ICLR 2025 Infinite-dimensional Diffusion Bridge Simulation via Operator Learning AISTATS 2025 InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis UAI 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar COLING 2025 Instance-Wise Monotonic Calibration by Constrained Transformation UAI 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems AISTATS 2025 Iterated Belief Change as Learning IJCAI 2025