← Optimization & Theory
Machine Learning › Optimization & Theory ›

Statistical Learning

4076 directly classified papers

Papers per year

Papers

A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment ACL 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
GHOST: Gaussian Hypothesis Open-Set Technique AAAI 2025
Conformalized Interval Arithmetic with Symmetric Calibration AAAI 2025
Conformal Thresholded Intervals for Efficient Regression AAAI 2025
Selective Uncertainty Propagation in Offline RL AAAI 2025
Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025
Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction AAAI 2025
Statistical Confidence Rescoring for Robust 3D Scene Graph Generation from Multi-View Images ICCV 2025
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025
Bayesian Score Calibration for Approximate Models JMLR 2025
Causal Effect of Functional Treatment JMLR 2025
Reliability of Topic Modeling NAACL 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025
A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity ACL 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025
Did Translation Models Get More Robust Without Anyone Even Noticing? ACL 2025