Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings
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Updated
Jun 9, 2024 - Python
Scalable Non-myopic Bayesian Optimization in Dynamic Cost Settings
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
This repository contains resources about my optional master semester research project performed with the Sycamore lab at EPFL. We studied mechanism design and preferential bayesian optimization for the maximization of unknown welfare functions.
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