3 citations · 3 across the 2 of their papers we have counts for
4 papers
Backward Conformal Prediction under Covariate Shift
Amin Meghrazi, Yuanyuan Li
Backward conformal prediction (BCP) fixes the size of a prediction set and estimates its miscoverage, but assumes calibration and test data are exchangeable. We extend BCP to covar…
Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design
Amin Meghrazi, Srinivasan Parthasarathy, Andrew Perrault
Participation in federated learning (FL) comes at a cost. Clients trade off privacy, communication, and compute costs for potentially greater gains in model efficacy. This paper ex…
FedCF: Fair Federated Conformal Prediction
Anutam Srinivasan, Aditya T. Vadlamani, Amin Meghrazi +1
Conformal Prediction (CP) is a widely used technique for quantifying uncertainty in machine learning models. In its standard form, CP offers probabilistic guarantees on the coverag…
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey
Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh +3
Machine learning algorithms have revolutionized different fields, including natural language processing, computer vision, signal processing, and medical data processing. Despite th…