Author

N. Abeynayake

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Ensemble Diversity Optimization for Subjective Supervision

Ensemble Diversity Optimization (EDO), a prediction-space framework that jointly optimizes ensemble weights, effective cardinality, and calibration through a unified differentiable objective, provides an efficient, model-agnostic approach for modeling human subjectivity in supervised learning.

Xia Cui, Ziyi Huang, N. Abeynayake · arXiv.org · 0 citations