Yuan, Ming

12 publications

JMLR 2024 On the Optimality of Gaussian Kernel Based Nonparametric Tests Against Smooth Alternatives Tong Li, Ming Yuan

JMLR 2021 A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration Yuetian Luo, Garvesh Raskutti, Ming Yuan, Anru R. Zhang

JMLR 2021 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests Krishnakumar Balasubramanian, Tong Li, Ming Yuan

JMLR 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression Han Chen, Garvesh Raskutti, Ming Yuan

JMLR 2016 Structure-Leveraged Methods in Breast Cancer Risk Prediction Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy Peissig, Elizabeth Burnside

NeurIPS 2015 Human Memory Search as Initial-Visit Emitting Random Walk Kwang-Sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang, Ming Yuan

ICML 2012 High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman

NeurIPS 2012 Learning Networks of Heterogeneous Influence Nan Du, Le Song, Ming Yuan, Alex J. Smola

JMLR 2010 Classification Methods with Reject Option Based on Convex Risk Minimization Ming Yuan, Marten Wegkamp

JMLR 2010 High Dimensional Inverse Covariance Matrix Estimation via Linear Programming Ming Yuan

COLT 2008 Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits Vladimir Koltchinskii, Ming Yuan

AISTATS 2007 Nonnegative Garrote Component Selection in Functional ANOVA Models Ming Yuan