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Modified Functional Principal Component Regression
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Inverse problem application in the field of biomedical image reconstruction
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Reinforcement Learning with Manifold Optimization
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Kernel and Lengthscale Selection on the Performance of the Sparse Cholesky Factorization Algorithm
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Randomized Sketching for Data Fitting
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Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods
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Fast Mixed Precision Algorithms for Toeplitz Least Squares Problems
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Move your Math A Pedagogical Study of the Interdisciplinary Research between Math and Movement in Higher Education
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Generalized Quantile Random Forest with Smoothed Estimating Equations
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Low Precision Preconditioning for Iterated Tikhonov Regularization
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