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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
Journal of the American Statistical Association|April 8, 2020
PUlasso: High-Dimensional Variable Selection With Presence-Only DataHyebin Song, Garvesh Raskutti
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.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 17, 2024
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingXubo Yue, Raed Kontar
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.
Journal of Medical Internet Research|January 31, 2025
Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled TrialChuan-Ching Tsai, Jin Yong Kim, Qiyuan Chen, et al.
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