Showing 1–20 of 24 results
/ Date/ Name
Apr 21, 2020An Asympirical Smoothing Parameters Selection Approach for Smoothing Spline ANOVA Models in Large SamplesApr 20, 2025Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future DirectionsAug 7, 2020A Review on Modern Computational Optimal Transport Methods with Applications in Biomedical ResearchNov 6, 2019Minimax Nonparametric Two-sample Test under SmoothingAug 23, 2021Model-based Sparse Coding beyond Gaussian Independent ModelAug 23, 2023Leverage classifier: Another look at support vector machineJan 10, 2025Large Language Models for BioinformaticsJan 16, 2008Penalized Clustering of Large Scale Functional Data with Multiple CovariatesJul 18, 2021Best Subset Selection: Statistical Computing Meets Quantum ComputingMay 20, 2021Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factorsMay 9, 2025S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via EchocardiogramJul 25, 2025Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging ChallengesMar 24, 2020More efficient approximation of smoothing splines via space-filling basis selectionSep 21, 2021B-scaling: A Novel Nonparametric Data Fusion MethodNov 15, 2025DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical ImagingFeb 2, 2026A Single Revision Step Improves Token-Efficient LLM ReasoningMay 31, 2022An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimationOct 23, 2020LowCon: A design-based subsampling approach in a misspecified linear modeLSep 24, 2021Smoothing splines approximation using Hilbert curve basis selectionOct 19, 2020Sufficient dimension reduction for classification using principal optimal transport direction