Jing Lei

15 papers A 1C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.
Bioinform.
Yixuan Qiu, Jiebiao Wang, Jing Lei, Kathryn Roeder
2019 J jnl
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning.
CoRR
Yixuan Qiu, Jing Lei, Kathryn Roeder
2016 J jnl
A Minimax Theory for Adaptive Data Analysis.
CoRR
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
2016 J jnl
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle.
J. Mach. Learn. Res.
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
2016 J jnl
Least Ambiguous Set-Valued Classifiers with Bounded Error Levels.
CoRR
Mauricio Sadinle, Jing Lei, Larry A. Wasserman
2016 C conf
On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms.
PSD
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
2016 J jnl
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms.
CoRR
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
2015 J jnl
A conformal prediction approach to explore functional data.
Ann. Math. Artif. Intell.
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
2015 J jnl
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle.
CoRR
Yu-Xiang Wang, Jing Lei, Stephen E. Fienberg
2013 J jnl
A Conformal Prediction Approach to Explore Functional Data
CoRR
Jing Lei, Alessandro Rinaldo, Larry A. Wasserman
2013 — conf
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA.
NIPS
Vincent Q. Vu, Juhee Cho, Jing Lei, Karl Rohe
2012 J jnl
Distribution Free Prediction Bands
CoRR
Jing Lei, Larry A. Wasserman
2012 J jnl
Minimax Rates of Estimation for Sparse PCA in High Dimensions
CoRR
Vincent Q. Vu, Jing Lei
2012 A conf
Minimax Rates of Estimation for Sparse PCA in High Dimensions.
AISTATS
Vincent Q. Vu, Jing Lei
2011 J jnl
Efficient Nonparametric Conformal Prediction Regions
CoRR
Jing Lei, James M. Robins, Larry A. Wasserman