Search Results for author: Duncan A. Little

Found 3 papers, 2 papers with code

Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce

no code implementations3 Jul 2022 Eleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little

These systems have been deployed to manage markdown at ASOS. com, and both systems can be fruitfully deployed for price optimization across a wide variety of retail e-commerce settings.

Management

Generalising Random Forest Parameter Optimisation to Include Stability and Cost

1 code implementation29 Jun 2017 C. H. Bryan Liu, Benjamin Paul Chamberlain, Duncan A. Little, Angelo Cardoso

We argue that error reduction is only one of several metrics that must be considered when optimizing random forest parameters for commercial applications.

Bayesian Optimisation

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