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Order-Constrained ROC Regression With Application to Facial Recognition.

, , , and . Technometrics, 63 (3): 343-353 (2021)

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Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization, and . (2012)cite arxiv:1205.0953Comment: 43 pages, 7 figures; extends NIPS 2011 'Sparse recovery by thresholded non-negative least squares'.Asynchronous Online Federated Learning for Edge Devices with Non-IID Data., , , and . IEEE BigData, page 15-24. IEEE, (2020)Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 2939-2959. PMLR, (2023)A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels., , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 38-48. AUAI Press, (2019)Order-Constrained ROC Regression With Application to Facial Recognition., , , and . Technometrics, 63 (3): 343-353 (2021)Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing., , and . ISIT, page 1857-1861. IEEE, (2019)