Konstantina Bairaktari
bairaktari.k at northeastern dot edu
Pronouns: she/her
I am a Computer Science PhD student at Northeastern University, where I am advised by Huy Le Nguyen and Jonathan Ullman. My research interests are in theoretical approaches to fairness in machine learning and data privacy.
Before joining Northeastern, I received my diploma in Electrical and Computer Engineering from the National Technical University of Athens, where I completed my thesis under the guidance of Dimitris Fotakis.
Publications
Privacy in Metalearning and Multitask Learning: Modeling and Separations
Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg and Jonathan Ullman
[paper]
Metalearning with Very Few Samples Per Task
Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro and Jonathan Ullman
Conference on Learning Theory (COLT 2024)
[paper]
Multitask Learning via Shared Features: Algorithms and Hardness
Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan Ullman and Lydia Zakynthinou
Conference on Learning Theory (COLT 2023)
[paper]
Fair and Useful Cohort Selection
Konstantina Bairaktari, Paul Langton, Huy Lê Nguyễn, Niklas Smedemark-Margulies and Jonathan Ullman
Transactions on Machine Learning Research (TMLR 2023)
[paper]
