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Rina Foygel Barber

Showing results (1-10 of 14) with videos related to

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Information and Inference : a Journal of the IMA|October 16, 2023
Black-box tests for algorithmic stabilityByol Kim, Rina Foygel Barber
Journal of Machine Learning Research : JMLR|February 3, 2018
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite FunctionsRina Foygel Barber, Emil Y Sidky
Journal of Machine Learning Research : JMLR|June 10, 2024
Convergence for nonconvex ADMM, with applications to CT imagingRina Foygel Barber, Emil Y Sidky
Journal of the Royal Statistical Society. Series B, Statistical Methodology|November 7, 2017
EigenPrism: inference for high dimensional signal-to-noise ratiosLucas Janson, Rina Foygel Barber, Emmanuel Candès
IEEE Transactions on Medical Imaging|April 25, 2017
A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting DataTaly Gilat Schmidt, Rina Foygel Barber, Emil Y Sidky
Electronic Journal of Statistics|June 4, 2020
The bias of isotonic regressionRan Dai, Hyebin Song, Rina Foygel Barber, et al.
Elife|July 30, 2021
Fast and flexible estimation of effective migration surfacesJoseph Marcus, Wooseok Ha, Rina Foygel Barber, et al.
Physics in Medicine and Biology|April 16, 2016
An algorithm for constrained one-step inversion of spectral CT dataRina Foygel Barber, Emil Y Sidky, Taly Gilat Schmidt, et al.
Medical Physics|August 17, 2020
Erratum: Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [Med. Phys. 46(1), p. 81-92 (2019)]Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, et al.
Medical Physics|October 30, 2018
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimizationWooseok Ha, Emil Y Sidky, Rina Foygel Barber, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Information and Inference : a Journal of the IMA|October 16, 2023
Black-box tests for algorithmic stabilityByol Kim, Rina Foygel Barber
Journal of Machine Learning Research : JMLR|February 3, 2018
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite FunctionsRina Foygel Barber, Emil Y Sidky
Journal of Machine Learning Research : JMLR|June 10, 2024
Convergence for nonconvex ADMM, with applications to CT imagingRina Foygel Barber, Emil Y Sidky
Journal of the Royal Statistical Society. Series B, Statistical Methodology|November 7, 2017
EigenPrism: inference for high dimensional signal-to-noise ratiosLucas Janson, Rina Foygel Barber, Emmanuel Candès
IEEE Transactions on Medical Imaging|April 25, 2017
A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting DataTaly Gilat Schmidt, Rina Foygel Barber, Emil Y Sidky
Electronic Journal of Statistics|June 4, 2020
The bias of isotonic regressionRan Dai, Hyebin Song, Rina Foygel Barber, et al.
Elife|July 30, 2021
Fast and flexible estimation of effective migration surfacesJoseph Marcus, Wooseok Ha, Rina Foygel Barber, et al.
Physics in Medicine and Biology|April 16, 2016
An algorithm for constrained one-step inversion of spectral CT dataRina Foygel Barber, Emil Y Sidky, Taly Gilat Schmidt, et al.
Medical Physics|August 17, 2020
Erratum: Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [Med. Phys. 46(1), p. 81-92 (2019)]Wooseok Ha, Emil Y Sidky, Rina Foygel Barber, et al.
Medical Physics|October 30, 2018
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimizationWooseok Ha, Emil Y Sidky, Rina Foygel Barber, et al.
Pageof 2