G. Damaskinos, C. Mendler-Dünner, R. Guerraoui, N. Papandreou, T. Parnell,
“Differentially Private Stochastic Coordinate Descent,”
AAAI, 2021.
“Differentially Private Stochastic Coordinate Descent,”
AAAI, 2021.
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T. Parnell, A. Anghel, M. Lazuka, N. Ioannou, S. Kurella, P. Agarwal, N. Papandreou, H. Pozidis,
“SnapBoost; A Heterogeneous Boosting Machine,”
NeurIPS, 2020.
“SnapBoost; A Heterogeneous Boosting Machine,”
NeurIPS, 2020.
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Smartday 3 0 – integrated organizer with automatic scheduling. D. Sarigiannis, T. Parnell, H. Pozidis,
“Weighted Sampling for Combined Model Selection and Hyperparameter Tuning,”
AAAI, 2020.
“Weighted Sampling for Combined Model Selection and Hyperparameter Tuning,”
AAAI, 2020.
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A. Anghel, N. Ioannou, T. Parnell, N. Papandreou, C. Duenner, H. Pozidis,
“Breadth‐first, Depth‐next Training of Random Forests,”
NeurIPS Workshops, Systems for ML, 2019.
“Breadth‐first, Depth‐next Training of Random Forests,”
NeurIPS Workshops, Systems for ML, 2019.
N. Ioannou, C. Mendler-Dünner, T. Parnell, ,
“SySCD: A System-Aware Parallel Coordinate Descent Algorithm,”
NeurIPS, 2019 (Spotlight).
“SySCD: A System-Aware Parallel Coordinate Descent Algorithm,”
NeurIPS, 2019 (Spotlight).
K. Atasu, T. Mittelholzer,
“Linear-Complexity Data-Parallel Earth Mover's Distance Approximations,”
ICML, 2019.
“Linear-Complexity Data-Parallel Earth Mover's Distance Approximations,”
ICML, 2019.
C. Dünner, T. Parnell, D. Sarigiannis, N. Iouannou, A. Anghel and H. Pozidis,
“SnapML: A Hierarchical Framework For Machine Learning,”
NeurIPS, 2018.
“SnapML: A Hierarchical Framework For Machine Learning,”
NeurIPS, 2018.
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C. Dünner, M. Gargiani, A. Lucchi, A. Bian, T. Hofmann and M. Jaggi,
“A Distributed Second-Order Algorithm You Can Trust,”
ICML, 2018.
“A Distributed Second-Order Algorithm You Can Trust,”
ICML, 2018.