Search Results for author: Masashi Shibata

Found 3 papers, 2 papers with code

cmaes : A Simple yet Practical Python Library for CMA-ES

2 code implementations2 Feb 2024 Masahiro Nomura, Masashi Shibata

To address the need for an accessible yet potent tool in this domain, we developed cmaes, a simple and practical Python library for CMA-ES.

Transfer Learning

A Real-World Implementation of Unbiased Lift-based Bidding System

no code implementations23 Feb 2022 Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata

Second, thepractical usefulness of lift-based bidding is not widely understood in the online advertising industry due to the lack of a comprehensive investigation of its impact. We here propose a practically-implementable lift-based bidding system that perfectly fits the current billing rules.

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