Bayesian Inference

EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization AAAI 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks ICML 2025 Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy AISTATS 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2025 Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision EMNLP 2025 Enhancing Robust Fairness via Confusional Spectral Regularization ICLR 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing ICML 2025 Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild CVPR 2025 Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer ICLR 2025 Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025 Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025 Entropic Matching for Expectation Propagation of Markov Jump Processes AISTATS 2025 Epistemic Bellman Operators AAAI 2025 Epistemic Uncertainty and Excess Risk in Variational Inference AISTATS 2025 Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025 Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models ACL 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025 Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs ACL 2025 Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models ACL 2025 FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference ICML 2025 Fail2Progress: Learning from Real-World Robot Failures with Stein Variational Inference CoRL 2025 Fast Bayesian Optimization of Function Networks with Partial Evaluations AutoML 2025