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
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]
