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Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1050-1069. PMLR, (2019)Second-order optimization for non-convex machine learning: An empirical study, , and . arXiv preprint arXiv:1708.07827, (2017)Reading group.GPU Accelerated Sub-Sampled Newton's Method for Convex Classification Problems., , , and . SDM, page 702-710. SIAM, (2019)Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior, and . (2017)cite arxiv:1710.09553Comment: 31 pages; added brief discussion of recent papers that use/extend these ideas.Evaluating OpenMP Tasking at Scale for the Computation of Graph Hyperbolicity., , , and . IWOMP, volume 8122 of Lecture Notes in Computer Science, page 71-83. Springer, (2013)Quantile Regression for Large-scale Applications., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 881-887. JMLR.org, (2013)Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study, , and . (2017)cite arxiv:1708.07827Comment: 21 pages, 11 figures. Restructure the paper and add experiments.Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008, , and . CoRR, (2008)FLAG n' FLARE: Fast Linearly-Coupled Adaptive Gradient Methods., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 404-414. PMLR, (2018)Fast approximation of matrix coherence and statistical leverage., , , and . ICML, icml.cc / Omnipress, (2012)