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A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model., , , , and . Comput. Stat. Data Anal., (2020)Understanding Generalization in Deep Learning via Tensor Methods., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 504-515. PMLR, (2020)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..Selective Inference for Latent Block Models., and . CoRR, (2020)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)Neural Architecture Search Using Stable Rank of Convolutional Layers., , , and . CoRR, (2020)A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?, , , , , , , and . ECML/PKDD (3), volume 13715 of Lecture Notes in Computer Science, page 477-492. Springer, (2022)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)