← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty? COLING 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
A Systematic Examination of Preference Learning through the Lens of Instruction-Following NAACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy AAAI 2025
ContraGS: Codebook-Condensed and Trainable Gaussian Splatting for Fast, Memory-Efficient Reconstruction ICCV 2025
Neural Conformal Control for Time Series Forecasting AAAI 2025
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow AAAI 2025
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025
Bayesian Optimization for Controlled Image Editing via LLMs ACL 2025
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs ACL 2025
Understanding Impact of Human Feedback via Influence Functions ACL 2025
Reward Generalization in RLHF: A Topological Perspective ACL 2025
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025
Inverse Problems with Diffusion Models: A MAP Estimation Perspective WACV 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025
Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs AAAI 2025
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals ACL 2025