Kyohei Suzuki

According to our database, Kyohei Suzuki authored at least 14 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

External Division of Two Bregman Proximity Operators for Poisson Inverse Problems.

Kazuki Haishima, Kyohei Suzuki, Konstantinos Slavakis

CoRR, February, 2026

External Division of Two Proximity Operators - Part II: Generalization and Properties.

Kyohei Suzuki, Masahiro Yukawa

IEEE Trans. Signal Process., 2026

External Division of Two Proximity Operators - Part I: Debiased Feature Grouping.

Kyohei Suzuki, Masahiro Yukawa

IEEE Trans. Signal Process., 2026

2025

Nonconvex Regularization for Feature Selection in Reinforcement Learning.

Kyohei Suzuki, Konstantinos Slavakis

CoRR, September, 2025

A Discrete Measure for Debiased Feature Grouping: A Limit of Moreau-Enhanced OSCAR Regularizer and its Proximity Operator.

Kyohei Suzuki, Masahiro Yukawa

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity.

Kyohei Suzuki, Masahiro Yukawa

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression.

Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada

IEEE Trans. Signal Process., 2023

Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise.

Kyohei Suzuki, Masahiro Yukawa

IEEE Trans. Signal Process., 2023

2022

On Grouping Effect of Sparse Stable Outlier-Robust Regression.

Kyohei Suzuki, Masahiro Yukawa

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Sparse Stable Outlier-Robust Regression with Minimax Concave Function.

Kyohei Suzuki, Masahiro Yukawa

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Stable Robust Regression under Sparse Outlier and Gaussian Noise.

Masahiro Yukawa, Kyohei Suzuki, Isao Yamada

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function.

Kyohei Suzuki, Masahiro Yukawa

IEEE Trans. Signal Process., 2021

2020

Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function.

Kyohei Suzuki, Masahiro Yukawa

Proceedings of the 28th European Signal Processing Conference, 2020

2008

Bounds on Fixed Input/Output Length Post-processing Functions for Biased Physical Random Number Generators.

Kyohei Suzuki, Tetsu Iwata

Proceedings of the Selected Areas in Cryptography, 15th International Workshop, SAC 2008, 2008