Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification. - Matthew L. Jockers; Daniela M. Witten; Craig S. Criddle (Lit. Linguistic Comput., 2008)

A comparative study of machine learning methods for authorship attribution. - Matthew L. Jockers; Daniela M. Witten (Lit. Linguistic Comput., 2010)

Supervised multidimensional scaling for visualization, classification, and bipartite ranking. - Daniela M. Witten; Robert Tibshirani (Comput. Stat. Data Anal., 2011)

Sparse Discriminant Analysis. - Line H. Clemmensen; Trevor Hastie; Daniela M. Witten; Bjarne K. Ersbøll (Technometrics, 2011)

Structured Learning of Gaussian Graphical Models. - Karthik Mohan; Michael Jae-Yoon Chung; Seungyeop Han; Daniela M. Witten; Su-In Lee; Maryam Fazel (NIPS, 2012)

Scientific research in the age of omics: the good, the bad, and the sloppy. - Daniela M. Witten; Robert Tibshirani (J. Am. Medical Informatics Assoc., 2013)

Sure Screening for Gaussian Graphical Models. - Shikai Luo; Rui Song 006; Daniela M. Witten (CoRR, 2014)

Node-based learning of multiple Gaussian graphical models. - Karthik Mohan; Palma London; Maryam Fazel; Daniela M. Witten; Su-In Lee (J. Mach. Learn. Res., 2014)

Learning graphical models with hubs. - Kean Ming Tan; Palma London; Karthik Mohan; Su-In Lee; Maryam Fazel; Daniela M. Witten (J. Mach. Learn. Res., 2014)

Inferring Clonal Composition from Multiple Sections of a Breast Cancer. - Habil Zare; Junfeng Wang; Alex Hu; Kris Weber; Joshua D. Smith; Deborah A. Nickerson; ChaoZhong Song; Daniela M. Witten; C. Anthony Blau; William Stafford Noble (PLoS Comput. Biol., 2014)

The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping. - Daniela M. Witten; Ali Shojaie; Fan Zhang (Technometrics, 2014)

Pathway Graphical Lasso. - Maxim Grechkin; Maryam Fazel; Daniela M. Witten; Su-In Lee (AAAI, 2015)

The cluster graphical lasso for improved estimation of Gaussian graphical models. - Kean Ming Tan; Daniela M. Witten; Ali Shojaie (Comput. Stat. Data Anal., 2015)

Penalized Estimation in Complex Models. - Jacob Bien; Daniela M. Witten (Handbook of Big Data, 2016)

Convex Regression with Interpretable Sharp Partitions. - Ashley Petersen; Noah Simon; Daniela M. Witten (J. Mach. Learn. Res., 2016)

Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions. - Kean Ming Tan; Qiang Sun; Daniela M. Witten (CoRR, 2018)

CADD: predicting the deleteriousness of variants throughout the human genome. - Philipp Rentzsch; Daniela M. Witten; Gregory M. Cooper; Jay Shendure; Martin Kircher (Nucleic Acids Res., 2019)

Machine learning techniques for mitoses classification. - Shima Nofallah; Sachin Mehta; Ezgi Mercan; Stevan Knezevich; Caitlin J. May; Donald L. Weaver; Daniela M. Witten; Joann G. Elmore; Linda G. Shapiro (Comput. Medical Imaging Graph., 2021)

Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. - Shima Nofallah; Sachin Mehta; Ezgi Mercan; Stevan Knezevich; Caitlin J. May; Donald L. Weaver; Daniela M. Witten; Joann G. Elmore; Linda G. Shapiro (Comput. Medical Imaging Graph., 2021)

Tree-Values: Selective Inference for Regression Trees. - Anna C. Neufeld; Lucy L. Gao; Daniela M. Witten (J. Mach. Learn. Res., 2022)

Valid inference after prediction. - Keshav Motwani; Daniela M. Witten (CoRR, 2023)

Selective inference for k-means clustering. - Yiqun T. Chen 001; Daniela M. Witten (J. Mach. Learn. Res., 2023)

Revisiting inference after prediction. - Keshav Motwani; Daniela M. Witten (J. Mach. Learn. Res., 2023)

More Powerful Selective Inference for the Graph Fused Lasso. - Yiqun Chen 001; Sean Jewell; Daniela M. Witten (J. Comput. Graph. Stat., 2023)

Modeling functional cell types in spike train data. - Daniel N. Zdeblick; Eric Shea-Brown; Daniela M. Witten; Michael A. Buice (PLoS Comput. Biol., 2023)

Data Thinning for Convolution-Closed Distributions. - Anna C. Neufeld; Ameer Dharamshi; Lucy L. Gao; Daniela M. Witten (J. Mach. Learn. Res., 2024)