Statistical Learning

A Grounded Typology of Word Classes NAACL 2025 All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025 Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation NAACL 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications AISTATS 2025 A New Formulation of Zipf’s Meaning-Frequency Law through Contextual Diversity ACL 2025 A new framework for evaluating model out-of-distribution generalisation for the biochemical domain ICLR 2025 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 A Novel Convex Gaussian Min Max Theorem for Repeated Features AISTATS 2025 Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence ICLR 2025 Approximating the total variation distance between spin systems COLT 2025 A primer on linear classification with missing data AISTATS 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries AISTATS 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 Assumption-lean and data-adaptive post-prediction inference JMLR 2025 A Statistical Approach for Controlled Training Data Detection ICLR 2025 A Statistical Framework for Ranking LLM-based Chatbots ICLR 2025 Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection JMLR 2025 Asymptotics of Linear Regression with Linearly Dependent Data L4DC 2025 A Unifying Information-theoretic Perspective on Evaluating Generative Models AAAI 2025 AutoEval Done Right: Using Synthetic Data for Model Evaluation ICML 2025 Bayesian Score Calibration for Approximate Models JMLR 2025 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025