Search Results for author: Seiichi Kuroki

Found 3 papers, 0 papers with code

Unsupervised Domain Adaptation Based on Source-guided Discrepancy

no code implementations11 Sep 2018 Seiichi Kuroki, Nontawat Charoenphakdee, Han Bao, Junya Honda, Issei Sato, Masashi Sugiyama

A previously proposed discrepancy that does not use the source domain labels requires high computational cost to estimate and may lead to a loose generalization error bound in the target domain.

Unsupervised Domain Adaptation

Doubly Robust Mean-CVaR Portfolio

no code implementations20 Sep 2023 Kei Nakagawa, Masaya Abe, Seiichi Kuroki

However, the instability associated with the input parameter changes and estimation errors can deteriorate portfolio performance.

Portfolio Optimization

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