posterior distribution

Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 Bayesian Causal Discovery Networks for Linear Mixed Data CLeaR 2026 From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities UAI 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization ICML 2025 Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability AISTATS 2025 Bayesian Experimental Design Via Contrastive Diffusions ICLR 2025 Bayesian Inference for Correlated Human Experts and Classifiers ICML 2025 BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning ICML 2025 Can Transformers Learn Full Bayesian Inference in Context? ICML 2025 DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples ICML 2025 Discovering Directions of Uncertainty in Speech Inpainting Interspeech 2025 Distributional Diffusion Models with Scoring Rules ICML 2025 Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025 Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments L4DC 2025 Flat Posterior Does Matter For Bayesian Model Averaging UAI 2025 FUSE-MOS: Fusion of Speech Embeddings for MOS Prediction with Uncertainty Quantification Interspeech 2025 Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks ICML 2025 G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration ICML 2025 Inverse decision-making using neural amortized Bayesian actors ICLR 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning NAACL 2025