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ORCIDDaniela M. Witten
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- affiliation: University of Washington, Seattle, USA
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2020 – today
- 2024
[j20]Anna C. Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela M. Witten:
Data Thinning for Convolution-Closed Distributions. J. Mach. Learn. Res. 25: 57:1-57:35 (2024)- 2023
- [j19]Yiqun T. Chen, Sean Jewell
, Daniela M. Witten:
More Powerful Selective Inference for the Graph Fused Lasso. J. Comput. Graph. Stat. 32(2): 577-587 (2023) - [j18]Yiqun T. Chen, Daniela M. Witten:
Selective inference for k-means clustering. J. Mach. Learn. Res. 24: 152:1-152:41 (2023) - [j17]Keshav Motwani, Daniela M. Witten:
Revisiting inference after prediction. J. Mach. Learn. Res. 24: 394:1-394:18 (2023) - [j16]Daniel N. Zdeblick, Eric Shea-Brown, Daniela M. Witten, Michael A. Buice:
Modeling functional cell types in spike train data. PLoS Comput. Biol. 19(10) (2023) - [i4]Keshav Motwani, Daniela M. Witten:
Valid inference after prediction. CoRR abs/2306.13746 (2023) - 2022
- [j15]Anna C. Neufeld, Lucy L. Gao, Daniela M. Witten:
Tree-Values: Selective Inference for Regression Trees. J. Mach. Learn. Res. 23: 305:1-305:43 (2022) - 2021
- [j14]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Machine learning techniques for mitoses classification. Comput. Medical Imaging Graph. 87: 101832 (2021) - [j13]Shima Nofallah, Sachin Mehta, Ezgi Mercan, Stevan Knezevich, Caitlin J. May, Donald L. Weaver, Daniela M. Witten, Joann G. Elmore, Linda G. Shapiro:
Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832]. Comput. Medical Imaging Graph. 90: 101903 (2021)
2010 – 2019
- 2019
- [j12]Philipp Rentzsch, Daniela M. Witten, Gregory M. Cooper, Jay Shendure, Martin Kircher:
CADD: predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Res. 47(Database-Issue): D886-D894 (2019) - 2018
- [i3]Kean Ming Tan, Qiang Sun, Daniela M. Witten:
Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions. CoRR abs/1810.07913 (2018) - 2016
- [j11]Ashley Petersen, Noah Simon, Daniela M. Witten:
Convex Regression with Interpretable Sharp Partitions. J. Mach. Learn. Res. 17: 94:1-94:31 (2016) - [p1]Jacob Bien, Daniela M. Witten:
Penalized Estimation in Complex Models. Handbook of Big Data 2016: 285-303 - 2015
- [j10]Kean Ming Tan, Daniela M. Witten, Ali Shojaie:
The cluster graphical lasso for improved estimation of Gaussian graphical models. Comput. Stat. Data Anal. 85: 23-36 (2015) - [c2]Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Pathway Graphical Lasso. AAAI 2015: 2617-2623 - 2014
- [j9]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-based learning of multiple Gaussian graphical models. J. Mach. Learn. Res. 15(1): 445-488 (2014) - [j8]Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten:
Learning graphical models with hubs. J. Mach. Learn. Res. 15(1): 3297-3331 (2014) - [j7]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:
Inferring Clonal Composition from Multiple Sections of a Breast Cancer. PLoS Comput. Biol. 10(7) (2014) - [j6]Daniela M. Witten, Ali Shojaie, Fan Zhang:
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping. Technometrics 56(1): 112-122 (2014) - [i2]Shikai Luo, Rui Song, Daniela M. Witten:
Sure Screening for Gaussian Graphical Models. CoRR abs/1407.7819 (2014) - 2013
- [j5]Daniela M. Witten, Robert Tibshirani:
Scientific research in the age of omics: the good, the bad, and the sloppy. J. Am. Medical Informatics Assoc. 20(1): 125-127 (2013) - [i1]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-Based Learning of Multiple Gaussian Graphical Models. CoRR abs/1303.5145 (2013) - 2012
- [c1]Karthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, Daniela M. Witten, Su-In Lee, Maryam Fazel:
Structured Learning of Gaussian Graphical Models. NIPS 2012: 629-637 - 2011
- [j4]Daniela M. Witten, Robert Tibshirani:
Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Comput. Stat. Data Anal. 55(1): 789-801 (2011) - [j3]Line H. Clemmensen, Trevor Hastie, Daniela M. Witten, Bjarne K. Ersbøll:
Sparse Discriminant Analysis. Technometrics 53(4): 406-413 (2011) - 2010
- [j2]Matthew L. Jockers, Daniela M. Witten:
A comparative study of machine learning methods for authorship attribution. Lit. Linguistic Comput. 25(2): 215-223 (2010)
2000 – 2009
- 2008
- [j1]Matthew L. Jockers, Daniela M. Witten, Craig S. Criddle:
Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification. Lit. Linguistic Comput. 23(4): 465-491 (2008)
Coauthor Index
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