Publications
Accepted
- Wavelet Regression and Additive Models for Irregularly Spaced Data (with Asad Haris, and Ali Shojaie)
NIPS (2018 accepted) - Nonparametric Variable Importance Using an Augmented Neural Network with Multi-task Learning
(with Jean Feng, Brian Williamson, and Marco Carone)
ICML (2018) - An Analysis of the Cost of Hyper-Parameter Selection via Split-Sample Validation with Applications to Penalized Regression (with Jean Feng)
Statistica Sinica (2018) - SCALPEL: Extracting Neurons from Calcium Imaging Data (with Ashley Petersen, and Daniela Witten)
Annals of Applied Statistics (2018) - Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions
(with Jean Feng)
Journal of Computational and Graphical Statistics (2018) - A Framework for Estimating and Testing Qualitative Interactions with Applications to Predictive Biomarkers
(with Jeremy Roth)
Biostatistics (2017) - Rank Conditional Coverage and Confidence Intervals in High Dimensional Problems (with Jean Morrison)
Journal of Computational and Graphical Statistics (2017) - Using Bayesian Modeling in Frequentist Adaptive Enrichment Designs. (with Richard Simon)
Biostatistics (2017) - Inference for Multimarker Adaptive Enrichment Trials (with Richard Simon)
Statistics in Medicine (2017) - Simultaneous Detection and Estimation of Trait Associations with Genomic Phenotypes (with Jean Morrison)
Biostatistics (2017) - Fused Lasso Additive Model (with Ashley Petersen and Daniela Witten)
Journal of Computational and Graphical Statistics (2016) - Convex Modeling of Interactions with Strong Heredity (with Asad Haris, and Daniela Witten)
Journal of Computational and Graphical Statistics (2016) - Adaptive Enrichment Designs: Applications and Challenges
Future Medicine (2016) - A Permutation Approach to Testing Interactions for Binary Response by Comparing Correlations Between Classes (with Robert Tibshirani)
Journal of the American Statistical Association (2015) - Convex Hierarchical Testing of Interactions (with Bien Jacob, and Robert Tibshirani)
Annals of Applied Statistics (2014) - A Sparse Group Lasso (with Jerome Friedman, Trevor Hastie, and Robert Tibshirani)
Journal of Computational and Graphical Statistics (2013) - Adaptive Enrichment Designs For Clinical Trials (with Richard Simon)
Biostatistics (2013) - Comment on "Detecting Novel Associations in Large Data Set" by Reshef et. al (with Robert Tibshirani)
Comment on Science (Dec. 2011) - New insights and faster computations for the graphical lasso. (with Daniela Witten, and Jerome Friedman)
Journal of Computational and Graphical Statistics (2011) - Standardization and the Group Lasso Penalty (with Robert Tibshirani)
Statistica Sinica (2011) - Strong Rules for Discarding Predictors in Lasso-type Problems (with Tibshirani, Bien, Friedman, Hastie, Taylor and Tibshirani)
JRSS series B (2010) - Using randomization tests to preserve type I error with response adaptive and covariate adaptive randomization (with Richard Simon)
Statistics & Probability Letters (2011) - Regularization Paths for Cox's Proportional Hazards Model (with Jerome Friedman, Trevor Hastie, and Robert Tibshirani)
Journal of Statistical Software (2011)