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Garvesh Raskutti

Showing results (1-10 of 7) with videos related to

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Journal of the American Statistical Association|April 8, 2020
PUlasso: High-Dimensional Variable Selection With Presence-Only DataHyebin Song, Garvesh Raskutti
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2020
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized ApproachRaed Kontar, Garvesh Raskutti, Shiyu Zhou
IEEE Transactions on Information Theory|December 17, 2019
Learning High-dimensional Generalized Linear Autoregressive ModelsEric C Hall, Garvesh Raskutti, Rebecca M Willett
Electronic Journal of Statistics|June 4, 2020
The bias of isotonic regressionRan Dai, Hyebin Song, Rina Foygel Barber, et al.
SIAM Journal on Mathematics of Data Science|September 24, 2020
Graph-based regularization for regression problems with alignment and highly-correlated designsYuan Li, Benjamin Mark, Garvesh Raskutti, et al.
Cell Systems|November 19, 2020
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled LearningHyebin Song, Bennett J Bremer, Emily C Hinds, et al.
Annals of Surgical Oncology|September 27, 2007
Pretreatment gene expression profiles can be used to predict response to neoadjuvant chemoradiotherapy in esophageal cancerCuong Duong, Danielle M Greenawalt, Adam Kowalczyk, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of the American Statistical Association|April 8, 2020
PUlasso: High-Dimensional Variable Selection With Presence-Only DataHyebin Song, Garvesh Raskutti
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2020
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized ApproachRaed Kontar, Garvesh Raskutti, Shiyu Zhou
IEEE Transactions on Information Theory|December 17, 2019
Learning High-dimensional Generalized Linear Autoregressive ModelsEric C Hall, Garvesh Raskutti, Rebecca M Willett
Electronic Journal of Statistics|June 4, 2020
The bias of isotonic regressionRan Dai, Hyebin Song, Rina Foygel Barber, et al.
SIAM Journal on Mathematics of Data Science|September 24, 2020
Graph-based regularization for regression problems with alignment and highly-correlated designsYuan Li, Benjamin Mark, Garvesh Raskutti, et al.
Cell Systems|November 19, 2020
Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled LearningHyebin Song, Bennett J Bremer, Emily C Hinds, et al.
Annals of Surgical Oncology|September 27, 2007
Pretreatment gene expression profiles can be used to predict response to neoadjuvant chemoradiotherapy in esophageal cancerCuong Duong, Danielle M Greenawalt, Adam Kowalczyk, et al.
Pageof 1