Machine Learning Foundations

DESCRIPTION

We study the foundations of Machine Learning and Statistics. We study existing methods and models, and develop new ones, targeting challenging learning modalities. We develop techniques that address important challenges, including learning from data that are high-dimensional, contain biases, or are corrupted, and addressing fairness, incentive and reliability issues that arise at model deployment.

RESEARCHERS

alexandros-potamianos
Alexandros Potamianos
National Technical University of Athens
alkmini-sgouritsa
Alkmini Sgouritsa
Athens University of Economics and Business
antonios-anastasopoulos
Antonios Anastasopoulos
George Mason University
archontis-giannakidis
Archontis Giannakidis
Nottingham Trent University
aris-pagourtzis
Aris Pagourtzis
National Technical University of Athens
christos-h-papadimitriou
Christos H. Papadimitriou
Columbia University
christos-tzamos
Christos Tzamos
National and Kapodistrian University of Athens & University of Wisconsin–Madison
dimitrios-kanoulas
Dimitrios Kanoulas
University College London
dimitris-fotakis
Dimitris Fotakis
National Technical University of Athens
efstratios-gavves
Efstratios Gavves
University of Amsterdam
george-korpas
George Korpas
HSBC Labs & Czech Technical University in Prague
georgios-amanatidis
Georgios Amanatidis
University of Essex
georgios-christodoulou
Georgios Christodoulou
Aristotle University of Thessaloniki
giorgos-papanastasiou
Giorgos Papanastasiou
University of Essex
ioannis-mitliagkas
Ioannis Mitliagkas
University of Montreal
ioannis-panageas
Ioannis Panageas
University of California, Irvine
konstantinos-tsakalidis
Konstantinos Tsakalidis
University of Liverpool
sotirios-sabanis
Sotirios Sabanis
University of Edinburgh & National Technical University of Athens
themos-stafylakis
Themos Stafylakis
Athens University of Economics and Business
vasileios-nakos
Vasileios Nakos
National and Kapodistrian University of Athens
vasilis-gkatzelis
Vasilis Gkatzelis
Drexel University
yannis-panagakis
Yannis Panagakis
National and Kapodistrian University of Athens
 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en

 

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