2021
Identification of cell-type-specific marker genes from co-expression patterns in tissue samples.
Bioinform., 2021

2019
Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning.
CoRR, 2019

2016
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle.
J. Mach. Learn. Res., 2016

A Minimax Theory for Adaptive Data Analysis.
CoRR, 2016

Least Ambiguous Set-Valued Classifiers with Bounded Error Levels.
CoRR, 2016

On-Average KL-Privacy and Its Equivalence to Generalization for Max-Entropy Mechanisms.
Proceedings of the Privacy in Statistical Databases, 2016

2015
A conformal prediction approach to explore functional data.
Ann. Math. Artif. Intell., 2015

2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Distribution Free Prediction Bands
CoRR, 2012

2011
Efficient Nonparametric Conformal Prediction Regions
CoRR, 2011