Ikeda, Kazushi

7 publications

TMLR 2025 Contextualized Messages Boost Graph Representations Brian Godwin Lim, Galvin Brice Sy Lim, Renzo Roel Tan, Kazushi Ikeda

NeurIPS 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang

ICML 2019 Better Generalization with Less Data Using Robust Gradient Descent Matthew Holland, Kazushi Ikeda

MLJ 2019 Efficient Learning with Robust Gradient Descent Matthew J. Holland, Kazushi Ikeda

ACML 2019 ResNet and Batch-Normalization Improve Data Separability Yasutaka Furusho, Kazushi Ikeda

MLJ 2017 Robust Regression Using Biased Objectives Matthew J. Holland, Kazushi Ikeda

NeCo 2004 An Asymptotic Statistical Theory of Polynomial Kernel Methods Kazushi Ikeda