Xin Tong
Xin Tong
Assistant Professor, Department of Data Sciences and Operations, University of Southern California
Verified email at - Homepage
Cited by
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A road to classification in high dimensional space: the regularized optimal affine discriminant
J Fan, Y Feng, X Tong
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
Neyman-pearson classification, convexity and stochastic constraints
P Rigollet, X Tong
The Journal of Machine Learning Research 12, 2831-2855, 2011
A plug-in approach to neyman-pearson classification
X Tong
The Journal of Machine Learning Research 14 (1), 3011-3040, 2013
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
J Fan, Y Feng, J Jiang, X Tong
Journal of the American Statistical Association, 00-00, 2015
Neyman-Pearson classification algorithms and NP receiver operating characteristics
X Tong, Y Feng, JJ Li
Science advances 4 (2), eaao1659, 2018
A survey on Neyman‐Pearson classification and suggestions for future research
X Tong, Y Feng, A Zhao
Wiley Interdisciplinary Reviews: Computational Statistics 8 (2), 64-81, 2016
Neyman-Pearson Classification under High-Dimensional Settings
A Zhao, Y Feng, L Wang, X Tong
Journal of Machine Learning Research 17 (213), 1-39, 2016
Penalized least squares estimation with weakly dependent data
JQ Fan, L Qi, X Tong
Science China Mathematics 59 (12), 2335-2354, 2016
Multi-Agent Inference in Social Networks: A Finite Population Learning Approach
J Fan, X Tong, Y Zeng
Genomic applications of the Neyman-Pearson classification paradigm
JJ Li, X Tong
Big Data Analytics in Genomics, 2016
Neyman-Pearson classification under a strict constraint.
P Rigollet, X Tong
COLT, 595-614, 2011
Learning with asymmetry, high dimension and social networks
X Tong
Princeton University, 2012
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