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Disambiguation of "Suzuki, Taiji"

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Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint.

, , , , and . ICLR, OpenReview.net, (2020)

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Yoko Suzuki

Taiji Azegami

Shigenobu Suzuki

Seiichi Suzuki

Kazuyo Suzuki

 

Other publications of authors with the same name

Accelerated Sparsified SGD with Error Feedback., and . CoRR, (2019)Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness., and . AISTATS, volume 22 of JMLR Proceedings, page 1152-1183. JMLR.org, (2012)Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality.. CoRR, (2018)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..A Consistent Method for Graph Based Anomaly Localization., , , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Least-Squares Conditional Density Estimation., , , , , and . IEICE Trans. Inf. Syst., 93-D (3): 583-594 (2010)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)Data-Parallel Momentum Diagonal Empirical Fisher (DP-MDEF):Adaptive Gradient Method is Affected by Hessian Approximation and Multi-Class Data., , , , , and . ICMLA, page 1397-1404. IEEE, (2022)Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness., and . ICLR, OpenReview.net, (2022)