Konstantina Bairaktari

According to our database, Konstantina Bairaktari authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Testable and Actionable Calibration for Full Swap Regret.

Konstantina Bairaktari, Lunjia Hu, Huy L. Nguyen, Jonathan R. Ullman

CoRR, May, 2026

2025

Sample-efficient Multiclass Calibration under ℓ_p Error.

Konstantina Bairaktari, Huy L. Nguyen

CoRR, September, 2025

Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage.

Konstantina Bairaktari, Jiayun Wu, Steven Wu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Privacy in Metalearning and Multitask Learning: Modeling and Separations.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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