Daniela M. Witten

Orcid: 0000-0002-1764-1184

Affiliations:
  • University of Washington, Seattle, USA


According to our database1, Daniela M. Witten authored at least 24 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Modeling functional cell types in spike train data.
PLoS Comput. Biol., October, 2023

More Powerful Selective Inference for the Graph Fused Lasso.
J. Comput. Graph. Stat., April, 2023

Selective inference for k-means clustering.
J. Mach. Learn. Res., 2023

Valid inference after prediction.
CoRR, 2023

2022
Tree-Values: Selective Inference for Regression Trees.
J. Mach. Learn. Res., 2022

2021
Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832].
Comput. Medical Imaging Graph., 2021

Machine learning techniques for mitoses classification.
Comput. Medical Imaging Graph., 2021

2019
CADD: predicting the deleteriousness of variants throughout the human genome.
Nucleic Acids Res., 2019

2018
Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions.
CoRR, 2018

2016
Convex Regression with Interpretable Sharp Partitions.
J. Mach. Learn. Res., 2016

Penalized Estimation in Complex Models.
Proceedings of the Handbook of Big Data., 2016

2015
The cluster graphical lasso for improved estimation of Gaussian graphical models.
Comput. Stat. Data Anal., 2015

Pathway Graphical Lasso.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping.
Technometrics, 2014

Inferring Clonal Composition from Multiple Sections of a Breast Cancer.
PLoS Comput. Biol., 2014

Learning graphical models with hubs.
J. Mach. Learn. Res., 2014

Node-based learning of multiple Gaussian graphical models.
J. Mach. Learn. Res., 2014

Sure Screening for Gaussian Graphical Models.
CoRR, 2014

2013
Scientific research in the age of omics: the good, the bad, and the sloppy.
J. Am. Medical Informatics Assoc., 2013

2012
Structured Learning of Gaussian Graphical Models.
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.
Technometrics, 2011

Supervised multidimensional scaling for visualization, classification, and bipartite ranking.
Comput. Stat. Data Anal., 2011

2010
A comparative study of machine learning methods for authorship attribution.
Lit. Linguistic Comput., 2010

2008
Reassessing authorship of the <i>Book of Mormon</i> using delta and nearest shrunken centroid classification.
Lit. Linguistic Comput., 2008


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