Konstantina Bairaktari

According to our database, Konstantina Bairaktari authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Privacy in Metalearning and Multitask Learning: Modeling and Separations.

Maryam Aliakbarpour, Konstantina Bairaktari, Adam D. Smith, Marika Swanberg, Jonathan R. Ullman

CoRR, 2024

Metalearning with Very Few Samples Per Task.

Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Nathan Srebro, Jonathan R. Ullman

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Fair and Useful Cohort Selection.

Konstantina Bairaktari, Paul Langton, Huy L. Nguyen, Niklas Smedemark-Margulies, Jonathan R. Ullman

Trans. Mach. Learn. Res., 2023

Metalearning with Very Few Samples Per Task.

Maryam Aliakbarpour, Konstantina Bairaktari, Gavin Brown, Adam Smith, Jonathan R. Ullman

CoRR, 2023

Multitask Learning via Shared Features: Algorithms and Hardness.

Konstantina Bairaktari, Guy Blanc, Li-Yang Tan, Jonathan R. Ullman, Lydia Zakynthinou

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023