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Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems., and . CoRR, (2016)Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality.. CoRR, (2018)Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation., and . Neural Comput., 25 (3): 725-758 (2013)Density-Difference Estimation., , , , , and . Neural Comput., 25 (10): 2734-2775 (2013)Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error., , , , , , , , and . IJCAI, page 2839-2846. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Neural Architecture Search Using Stable Rank of Convolutional Layers., , , and . CoRR, (2020)A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model., , , , and . Comput. Stat. Data Anal., (2020)SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels., and . Mach. Learn., 85 (1-2): 77-108 (2011)Least-Squares Conditional Density Estimation., , , , , and . IEICE Trans. Inf. Syst., 93-D (3): 583-594 (2010)Selective Inference for Latent Block Models., and . CoRR, (2020)