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

Nov 16, 2020
Thomas Schmied, Diego Didona, Andreas Döring, Thomas Parnell, Nikolas Ioannou

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MixBoost: A Heterogeneous Boosting Machine

Jun 17, 2020
Thomas Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis

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Compiling Neural Networks for a Computational Memory Accelerator

Mar 05, 2020
Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou, Tobias Grosser, Abu Sebastian, Evangelos Eleftheriou

* Submitted to SPMA '20 

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SySCD: A System-Aware Parallel Coordinate Descent Algorithm

Nov 18, 2019
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

Oct 15, 2019
Andreea Anghel, Nikolas Ioannou, Thomas Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis

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Parallel training of linear models without compromising convergence

Nov 05, 2018
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas Parnell

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Snap ML: A Hierarchical Framework for Machine Learning

Jun 18, 2018
Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis

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