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On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models.

, , and . J. Mach. Learn. Res., (2017)

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A Hybrid Computational Grid Architecture for Comparative Genomics., , , , and . IEEE Trans. Information Technology in Biomedicine, 12 (2): 218-225 (2008)Low-Rank Matrix and Tensor Completion via Adaptive Sampling., and . NIPS, page 836-844. (2013)Adaptive Hausdorff Estimation of Density Level Sets., , and . COLT, page 491-502. Omnipress, (2008)Representations of piecewise smooth signals on graphs., , , and . ICASSP, page 6370-6374. IEEE, (2016)An empirical comparison of sampling techniques for matrix column subset selection., and . Allerton, page 1069-1074. IEEE, (2015)A statistical perspective of sampling scores for linear regression., , , and . ISIT, page 1556-1560. IEEE, (2016)Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation., , and . CoRR, (2013)FuSSO: Functional Shrinkage and Selection Operator., , , , , , and . CoRR, (2013)Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1070-1078. PMLR, (2019)An Analysis of Active Learning with Uniform Feature Noise., , , and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 805-813. JMLR.org, (2014)