Yichao Wu

25 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-8660-8452

Department of Mathematics, Statistics, and Computer Science, University of Illinois

Publications

• Variable screening and spatial smoothing in Fréchet regression with application to diffusion tensor imaging — The Annals of Applied Statistics 2025
• Variable Selection for Global Fréchet Regression — Journal of the American Statistical Association 2023
• Nonparametric Estimation of Multivariate Mixtures — Journal of the American Statistical Association 2020
• Principal weighted support vector machines for sufficient dimension reduction in binary classification — Biometrika 2017
• Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods — Journal of the American Statistical Association 2017
• Variable selection for support vector machines in moderately high dimensions — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2016
• A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood — The Annals of Statistics 2016 (name-matched, not ORCID-linked)
• IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity — Journal of the American Statistical Association 2015
• Automatic structure recovery for additive models — Biometrika 2015
• Homogeneity Pursuit — Journal of the American Statistical Association 2015
• Effective dimension reduction for sparse functional data — Biometrika 2015
• Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods — Journal of the American Statistical Association 2014
• A Generic Path Algorithm for Regularized Statistical Estimation — Journal of the American Statistical Association 2014
• Continuously additive models for nonlinear functional regression — Biometrika 2013
• Marginal empirical likelihood and sure independence feature screening — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension — Journal of the American Statistical Association 2012
• Hard or Soft Classification? Large-Margin Unified Machines — Journal of the American Statistical Association 2011
• Robust Model-Free Multiclass Probability Estimation — Journal of the American Statistical Association 2010
• Ultrahigh Dimensional Feature Selection: Beyond The Linear Model — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
• Network exploration via the adaptive LASSO and SCAD penalties — The Annals of Applied Statistics 2009
• Semiparametric Estimation of Covariance Matrixes for Longitudinal Data — Journal of the American Statistical Association 2008
• Robust Truncated Hinge Loss Support Vector Machines — Journal of the American Statistical Association 2007