Statistical Learning

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025 Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts AISTATS 2025 Understanding LLM Development Through Longitudinal Study: Insights from the Open Ko-LLM Leaderboard NAACL 2025 Understanding the Stability-based Generalization of Personalized Federated Learning ICLR 2025 Universal generalization guarantees for Wasserstein distributionally robust models ICLR 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals EMNLP 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Uplift Model Evaluation with Ordinal Dominance Graphs JMLR 2025 Wasserstein-Regularized Conformal Prediction under General Distribution Shift ICLR 2025 What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length NAACL 2025 What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract) COLT 2025 When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025 When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings AISTATS 2025 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 A Computational Approach to Quantifying Grammaticization of English Deverbal Prepositions COLING 2024 Acoustical analysis of the initial phones in speech-laugh Interspeech 2024 Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training Interspeech 2024 ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NeurIPS 2024 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Active Classification with Few Queries under Misspecification NeurIPS 2024 Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024 Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024