My papers on Google Scholar and arXiv.

Working papers and preprints

  1. Lei, J. (2017)
    Fast Exact Conformalization of Lasso using Piecewise Linear Homotopy
  2. Lei, J. (2017)
    Cross-Validation with Confidence [code]
  3. Zhu, L., Lei, J., and Roeder, K. (2016)
    A Unified Statistical Framework for RNA Sequence Data from Individual Cells and Tissue
  4. Sadinle, M., Lei, J., and Wasserman, L. (2016)
    Least Ambiguous Set-Valued Classifiers with Bounded Error Levels
  5. Wang, Y., Lei, J., and Fienberg, S. (2016)
    A Minimax Theory for Adaptive Data Analysis

Peer-Reviewed Articles: Theory and Methodology

  1. Zhu, L., Lei, J., Devlin, B., and Roeder, K. (2017+)
    Testing High Dimensional Differential Matrices, with Application to Detecting Schizophrenia Risk Genes
    Annals of Applied Statistics, to appear.
  2. Lei, J., G'Sell, M., Rinaldo, A., Tibshirani, R. J. and Wasserman, L. (2017+)
    Distribution-Free Predictive Inference For Regression [R Package]
    Journal of the American Statistical Association, to appear.
  3. Lei, J., Charest, A.-S., Slavkovic, A., Smith, A., and Fienberg, S. (2017+)
    Differentially Private Model Selection with Penalized and Constrained Likelihood
    Journal of the Royal Statistical Society, Series A, to apper.
  4. Chen, K. and Lei, J. (2016+)
    Network Cross-Validation for Determining the Number of Communities in Network Data [code]
    Journal of the American Statistical Association, to appear.
  5. Wang, Y., Lei, J., and Fienberg, S. (2016)
    On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms
    Privacy in Statistical Databases. PSD'2016, Dubrovnik.
  6. Lei, J. and Zhu, L. (2016+)
    Generic Sample Splitting for Refined Community Recovery in Degree Corrected Stochastic Block Models [code]
    Statistica Sinica, to appear.
  7. Wang, Y., Lei, J., and Fienberg, S. (2016)
    Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle
    Journal of Machine Learning Research, 17(183), 1−40.
  8. Lei, J. (2016)
    A Goodness-of-fit Test for Stochastic Block Models [code]
    Annals of Statistics, 44(1), 401-424.
  9. Chen, K. and Lei, J. (2015)
    Localized Functional Principal Component Analysis [code]
    Journal of the American Statistical Association, 110, 1266-1275.
  10. Liu, L., Lei, J., and Roeder, K. (2015)
    Network Assisted Analysis to Reveal the Genetic Basis of Autism
    Annals of Applied Statistics, 9(3), 1571-1600.
  11. Lei, J. and Vu, V. Q. (2015)
    Sparsistency and Agnostic Inference in Sparse PCA
    Annals of Statistics, 43(1), 299-322.
  12. Lei, J. and Rinaldo, A. (2015)
    Consistency of Spectral Clustering in Stochastic Block Models
    Annals of Statistics, 43(1), 215-237.
  13. Lei, J., Rinaldo, A., and Wasserman, L. (2015)
    A Conformal Prediction Approach to Explore Functional Data
    Annals of Mathematics and Artificial Intelligence, 74(1-2), 29-43.
  14. Lei, J. (2014)
    Classification with Confidence
    Biometrika, 101(4), 755-769.
  15. Lei, J. (2014)
    Adaptive Global Testing for Functional Linear Models [code]
    Journal of the American Statistical Association, 109, 624-634.
  16. Lei, J. and Wasserman, L. (2014)
    Distribution Free Prediction Bands for Nonparametric Regression [code]
    Journal of the Royal Statistical Society, Series B, 76, 71-96.
  17. Vu, V. Q. and Lei, J. (2013)
    Minimax Sparse Principal Subspace Estimation in High Dimensions
    Annals of Statistics, 41, 2905-2947.
  18. Vu, V. Q., Cho, J., Lei, J., and Rohe, K. (2013)
    Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA [R package]
    Annual Conference on Neural Information Proceeding Systems, 26 (NIPS'13).
  19. Lei, J., Robins, J., and Wasserman, L. (2013)
    Distribution Free Prediction Sets [code]
    Journal of the American Statistical Association, 108, 278-287.
  20. Lei, J. and Bickel, P. (2013)
    On convergence of recursive Monte Carlo filters in non-compact state spaces
    Statistica Sinica, 23, 429-450.
  21. Vu, V. Q. and Lei, J. (2012)
    Minimax rates of estimation for sparse PCA in high dimensions
    Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS'12, Best Paper Award).
  22. Lei, J. and Bickel, P. (2011)
    A moment-matching approach to nonlinear non-Gaussian ensemble filtering
    Monthly Weather Review, 139, 3964-3973.
  23. Lei, J. (2011)
    Differentially private M-estimators [supplementary] [code]
    Annual Conference on Neural Information Proceeding Systems, 24 (NIPS'11).
  24. Lei, J., Bickel, P., and Snyder, C. (2010)
    Comparison of ensemble Kalman filters under non-Gaussianity
    Monthly Weather Review, 138, 1293-1306.
  25. Dwork, C. and Lei, J. (2009)
    Differential privacy and robust statistics [Full Version]
    Proceedings of the 41st Annual ACM Symposium on Theory of Computing (STOC'09).

Peer-Reviewed Articles: Application

  1. Cotney, J. et al. (2015)
    The autism-associated chromatin modifier ​CHD8 regulates other autism risk genes during human neurodevelopment
    Nature Communications, 6:6404.
  2. De Rubeis, S. et al. (2014)
    Synaptic, transcriptional and chromatin genes disrupted in autism
    Nature, 515, 209-215
  3. Liu, L., Lei, J., et al. (2014)
    DAWN: A framework to identify autism genes and subnetworks using gene expression and genetics
    Molecular Autism, 5:22.
  4. Willsey, J. et al. (2013)
    Coexpression Networks Implicate Human Midfetal Deep Cortical Projection Neurons in the Pathogenesis of Autism
    Cell, 155, 997-1007.

Notes

  1. Bernstein's Inequality using Orlicz psi_1 norm
  2. Vu, V. Q. and Lei, J. (2012)
    Squared-norm Empirical Process in Banach Space