Bayesian Inference

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025 Uncertainty-Guided Metric Learning without Labels WACV 2025 Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025 Uncertainty modeling for fine-tuned implicit functions ICLR 2025 Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes COLING 2025 Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? ACL 2025 Underdamped Diffusion Bridges with Applications to Sampling ICLR 2025 Understanding High-Dimensional Bayesian Optimization ICML 2025 Understanding Impact of Human Feedback via Influence Functions ACL 2025 Understanding the difficulties of posterior predictive estimation ICML 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025 UnHiPPO: Uncertainty-aware Initialization for State Space Models ICML 2025 Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025 Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025 Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025 UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025 Variational Bayesian Pseudo-Coreset ICLR 2025 Variational Best-of-N Alignment ICLR 2025 Variational Control for Guidance in Diffusion Models ICML 2025 Variational Counterfactual Intervention Planning to Achieve Target Outcomes ICML 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance ICLR 2025 Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025 Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix AISTATS 2025 Variational Learning of Fractional Posteriors ICML 2025