Daniela M. Witten

According to our database, Daniela M. Witten authored at least 26 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Thinning for Convolution-Closed Distributions.

Anna C. Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela M. Witten

J. Mach. Learn. Res., 2024

2023

Modeling functional cell types in spike train data.

Daniel N. Zdeblick, Eric Shea-Brown, Daniela M. Witten, Michael A. Buice

PLoS Comput. Biol., October, 2023

More Powerful Selective Inference for the Graph Fused Lasso.

Yiqun Chen, Sean Jewell, Daniela M. Witten

J. Comput. Graph. Stat., April, 2023

Revisiting inference after prediction.

Keshav Motwani, Daniela M. Witten

J. Mach. Learn. Res., 2023

Selective inference for k-means clustering.

Yiqun T. Chen, Daniela M. Witten

J. Mach. Learn. Res., 2023

Valid inference after prediction.

Keshav Motwani, Daniela M. Witten

CoRR, 2023

2022

Tree-Values: Selective Inference for Regression Trees.

Anna C. Neufeld, Lucy L. Gao, Daniela M. Witten

J. Mach. Learn. Res., 2022

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

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

2019

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

2018

Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions.

Kean Ming Tan, Qiang Sun, Daniela M. Witten

CoRR, 2018

2016

Convex Regression with Interpretable Sharp Partitions.

Ashley Petersen, Noah Simon, Daniela M. Witten

J. Mach. Learn. Res., 2016

Penalized Estimation in Complex Models.

Jacob Bien, Daniela M. Witten

Proceedings of the Handbook of Big Data., 2016

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

Pathway Graphical Lasso.

Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping.

Daniela M. Witten, Ali Shojaie, Fan Zhang

Technometrics, 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

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

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

Sure Screening for Gaussian Graphical Models.

Shikai Luo, Rui Song, Daniela M. Witten

CoRR, 2014

2013

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

2012

Structured Learning of Gaussian Graphical Models.

Karthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, Daniela M. Witten, Su-In Lee, Maryam Fazel

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Sparse Discriminant Analysis.

Line H. Clemmensen, Trevor Hastie, Daniela M. Witten, Bjarne K. Ersbøll

Technometrics, 2011

Supervised multidimensional scaling for visualization, classification, and bipartite ranking.

Daniela M. Witten, Robert Tibshirani

Comput. Stat. Data Anal., 2011

2010

A comparative study of machine learning methods for authorship attribution.

Matthew L. Jockers, Daniela M. Witten

Lit. Linguistic Comput., 2010

2008

Reassessing authorship of the <i>Book of Mormon</i> using delta and nearest shrunken centroid classification.

Matthew L. Jockers, Daniela M. Witten, Craig S. Criddle

Lit. Linguistic Comput., 2008