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A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast., , and . CoRR, (2020)Mutual information approximation via maximum likelihood estimation of density ratio., , and . ISIT, page 463-467. IEEE, (2009)Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback., , , , and . CoRR, (2019)Pool-based active learning in approximate linear regression., and . Mach. Learn., 75 (3): 249-274 (2009)Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion., and . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 89-A (8): 2216-2225 (2006)Recent Advances and Trends in Large-Scale Kernel Methods., , , and . IEICE Trans. Inf. Syst., 92-D (7): 1338-1353 (2009)Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers., , and . IPSJ Trans. Comput. Vis. Appl., (2011)LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning., , and . CoRR, (2020)Binary Classification from Positive Data with Skewed Confidence., , and . IJCAI, page 3328-3334. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Computational complexity of kernel-based density-ratio estimation: a condition number analysis., , and . Mach. Learn., 90 (3): 431-460 (2013)