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FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics., , , and . IEEE Trans. Med. Imaging, 37 (8): 1761-1774 (2018)Multimodal Sparse Classifier for Adolescent Brain Age Prediction., , and . CoRR, (2019)A Sparse Regression Method for Group-Wise Feature Selection with False Discovery Rate Control., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (4): 1066-1078 (2018)M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling., , , , , , , , , and . CoRR, (2024)Monitoring machine learning-based risk prediction algorithms in the presence of performativity., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 919-927. PMLR, (2024)Unified tests for fine-scale mapping and identifying sparse high-dimensional sequence associations., , , , and . Bioinform., 32 (3): 330-337 (2016)Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees., , , and . J. Am. Medical Informatics Assoc., 29 (5): 841-852 (2022)Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve., , , and . SIAM J. Math. Data Sci., 3 (2): 692-714 (2021)Is this model reliable for everyone? Testing for strong calibration., , , , , and . CoRR, (2023)Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution., , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770K. SPIE, (2018)