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IEEE Transactions on Information Theory|December 17, 2019
Learning High-dimensional Generalized Linear Autoregressive ModelsEric C Hall, Garvesh Raskutti, Rebecca M WillettJournal of the American Statistical Association|April 8, 2020
PUlasso: High-Dimensional Variable Selection With Presence-Only DataHyebin Song, Garvesh RaskuttiIEEE 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 ZhouElectronic 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.IEEE Transactions on Medical Imaging|May 23, 2003
Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imagingRebecca M Willett, Robert D NowakIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 20, 2011
This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms--theory and practiceZachary T Harmany, Roummel F Marcia, Rebecca M WillettOptics Express|July 24, 2008
Multi-excitation Raman spectroscopy technique for fluorescence rejectionScott T McCain, Rebecca M Willett, David J BradyPageof 2