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Taiji Suzuki

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[ICLR2021 (spotlight)] Benefit of deep learning with non-convex noisy gradient descent
porTaiji Suzuki
 
[NeurIPS2020 (spotlight)] Generalization bound of globally optimal non convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics
porTaiji Suzuki
 
深層学習の数理：カーネル法, スパース推定との接点
porTaiji Suzuki
 
Iclr2020: Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network
porTaiji Suzuki
 
数学で解き明かす深層学習の原理
porTaiji Suzuki
 
深層学習の数理
porTaiji Suzuki
 
はじめての機械学習
porTaiji Suzuki
 
Minimax optimal alternating minimization \\ for kernel nonparametric tensor learning
porTaiji Suzuki
 
Ibis2016
porTaiji Suzuki
 
Sparse estimation tutorial 2014
porTaiji Suzuki
 
Stochastic Alternating Direction Method of Multipliers
porTaiji Suzuki
 
機械学習におけるオンライン確率的最適化の理論
porTaiji Suzuki
 
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model
porTaiji Suzuki
 
統計的学習理論チュートリアル: 基礎から応用まで (Ibis2012)
porTaiji Suzuki
 
Jokyokai
porTaiji Suzuki