Masahiro Ikeda

activity

20222026

most citedA unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks

4 citations · 11 across the 11 of their papers we have counts for

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2 papers · 1 filter

stat.ML2026

High-Probability Guarantees for SGD under $β$ -Heavy-Tailed Gradient Noise

Qijun Tong, Masahiro Ikeda, Ryota Kawasumi

Stochastic gradient descent (SGD) is widely used to train machine learning models, but subsampling the training data introduces noise into its updates. The strength and applicabili…

stat.ML2024

Spectral Truncation Kernels: Noncommutativity in $C^{*}$ -algebraic Kernel Machines

Yuka Hashimoto, Ayoub Hafid, Masahiro Ikeda +1

A central question in vector- and function-valued learning is how to design kernels that capture both local and non-local interactions while remaining computationally tractable. Ex…

High-Probability Guarantees for SGD under β-Heavy-Tailed Gradient Noise

Spectral Truncation Kernels: Noncommutativity in C∗-algebraic Kernel Machines

High-Probability Guarantees for SGD under $β$ -Heavy-Tailed Gradient Noise

Spectral Truncation Kernels: Noncommutativity in $C^{*}$ -algebraic Kernel Machines