Katsuyuki Hagiwara

31 papers B 2Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
An extension of linear self-attention for in-context learning.
CoRR
Katsuyuki Hagiwara
2024 J jnl
Over-parameterized regression methods and their application to semi-supervised learning.
CoRR
Katsuyuki Hagiwara
2023 J jnl
On Gradient Descent Training Under Data Augmentation with On-Line Noisy Copies.
IEICE Trans. Inf. Syst.
Katsuyuki Hagiwara
2022 J jnl
Bridging between Soft and Hard Thresholding by Scaling.
IEICE Trans. Inf. Syst.
Katsuyuki Hagiwara
2022 J jnl
On gradient descent training under data augmentation with on-line noisy copies.
CoRR
Katsuyuki Hagiwara
2021 J jnl
Bridging between soft and hard thresholding by scaling.
CoRR
Katsuyuki Hagiwara
2019 — conf
A Model Selection Criterion for LASSO Estimate with Scaling.
ICONIP (2)
Katsuyuki Hagiwara
2018 — conf
On a Fitting of a Heaviside Function by Deep ReLU Neural Networks.
ICONIP (1)
Katsuyuki Hagiwara
2018 J jnl
On an improvement of LASSO by scaling.
CoRR
Katsuyuki Hagiwara
2017 J jnl
A Scaling and Non-Negative Garrote in Soft-Thresholding.
IEICE Trans. Inf. Syst.
Katsuyuki Hagiwara
2016 — conf
A Problem in Model Selection of LASSO and Introduction of Scaling.
ICONIP (2)
Katsuyuki Hagiwara
2016 J jnl
On scaling of soft-thresholding estimator.
Neurocomputing
Katsuyuki Hagiwara
2014 J jnl
A Sparse Modeling Method Based on Reduction of Cost Function in Regularized Forward Selection.
IEICE Trans. Inf. Syst.
Katsuyuki Hagiwara
2014 — conf
Least Angle Regression in Orthogonal Case.
ICONIP (2)
Katsuyuki Hagiwara
2011 J jnl
Nonparametric Regression Method Based on Orthogonalization and Thresholding.
IEICE Trans. Inf. Syst.
Katsuyuki Hagiwara
2010 B conf
On a training scheme based on orthogonalization and thresholding for a nonparametric regression problem.
IJCNN
Katsuyuki Hagiwara
2008 — conf
Orthogonalization and Thresholding Method for a Nonparametric Regression Problem.
ICONIP (2)
Katsuyuki Hagiwara
2008 J jnl
Relation between weight size and degree of over-fitting in neural network regression.
Neural Networks
Katsuyuki Hagiwara, Kenji Fukumizu
2007 — conf
Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise.
ICONIP (1)
Katsuyuki Hagiwara
2006 J jnl
On the Expected Prediction Error of Orthogonal Regression with Variable Components.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Katsuyuki Hagiwara, Hiroshi Ishitani
2003 J jnl
Model Selection with Componentwise Shrinkage in Orthogonal Regression.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Katsuyuki Hagiwara
2002 J jnl
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.
Neural Comput.
Katsuyuki Hagiwara
2002 J jnl
Regularization learning, early stopping and biased estimator.
Neurocomputing
Katsuyuki Hagiwara
2001 J jnl
Upper bound of the expected training error of neural network regression for a Gaussian noise sequence.
Neural Networks
Katsuyuki Hagiwara, Taichi Hayasaka, Naohiro Toda, Shiro Usui, Kazuhiro Kuno
2000 — conf
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario.
IJCNN (6)
Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
2000 — conf
Regularization Learning and Early Stopping in Linear Networks.
IJCNN (4)
Katsuyuki Hagiwara, Kazuhiro Kuno
1998 B conf
Upper Bounds on the Expected Training Errors of Neural Networks Regressions for a Gaussian Noise.
ICONIP
Katsuyuki Hagiwara, Kazuhiro Kuno, Shiro Usui
1997 — conf
On the Model Selection for Linear Combination of Step-Type Basis Functions.
ICONIP (1)
Taichi Hayasaka, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui
1996 J jnl
An analysis of carp cerebellar eeg under the microgravitational environment.
Syst. Comput. Jpn.
Shiro Usui, Yutaka Hirata, Katsuyuki Hagiwara, Naohiro Toda, Ichiro Akagi
1995 J jnl
Analysis of the error back-propagation learning algorithms with gain.
Syst. Comput. Jpn.
Qi Jia, Katsuyuki Hagiwara, Shiro Usui, Naohiro Toda
1994 J jnl
Equivalence relation between the back propagation learning process of an FNN and that of an FNNG.
Neural Networks
Qi Jia, Katsuyuki Hagiwara, Naohiro Toda, Shiro Usui