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Search-based Methods for Multi-Cloud Configuration



Małgorzata Łazuka , Thomas Parnell , Andreea Anghel , Haralampos Pozidis

* Submitted to IEEE Cloud 2022 

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Towards a General Framework for ML-based Self-tuning Databases



Thomas Schmied , Diego Didona , Andreas Döring , Thomas Parnell , Nikolas Ioannou


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Differentially Private Stochastic Coordinate Descent



Georgios Damaskinos , Celestine Mendler-Dünner , Rachid Guerraoui , Nikolaos Papandreou , Thomas Parnell


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MixBoost: A Heterogeneous Boosting Machine



Thomas Parnell , Andreea Anghel , Malgorzata Lazuka , Nikolas Ioannou , Sebastian Kurella , Peshal Agarwal , Nikolaos Papandreou , Haralampos Pozidis


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SySCD: A System-Aware Parallel Coordinate Descent Algorithm



Nikolas Ioannou , Celestine Mendler-Dünner , Thomas Parnell

* accepted as a spotlight at NeurIPS 2019, Vancouver, Canada 

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Breadth-first, Depth-next Training of Random Forests



Andreea Anghel , Nikolas Ioannou , Thomas Parnell , Nikolaos Papandreou , Celestine Mendler-Dünner , Haris Pozidis


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Learning to Tune XGBoost with XGBoost



Johanna Sommer , Dimitrios Sarigiannis , Thomas Parnell

* 5 pages (references included) 

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Weighted Sampling for Combined Model Selection and Hyperparameter Tuning



Dimitrios Sarigiannis , Thomas Parnell , Haris Pozidis

* pages: 14 

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