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List of papers to select from

Note: Please select your favourite papers by May 12; we'll assign papers on May 15.

Tutorials / Introductory material for Bayesian Optimization

Improvements of GP-based Bayesian Optimization

Approaches for General Algorithm Configuration

Hyperparameter Optimization and Structure Search

Combinations of Bayesian Optimization for Hyperparameter Optimization with Transfer Learning, Meta Learning, and Ensemble Learning

Scientific Understanding Based on the Models of Bayesian Optimization

Applications [new]

Theory [new]