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Bayesian Inference

4821 directly classified papers

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Papers

Bayesian-Inspired Space-Time Superpixels ICCV 2025
Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025
Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding IJCNLP 2025
Diffusion Models for Attribution AAAI 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference ACL 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval EMNLP 2025
Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025
Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding AACL 2025
Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck AAAI 2025
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers JMLR 2025
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025
Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025
Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025