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Ilkay Yildiz

2 accepted papers

2021

Deep Spectral Ranking

AISTATS 2021poster

Learning from ranking observations arises in many domains, and siamese deep neural networks have shown excellent inference performance in this setting. However, SGD does not scale well, as an epoch grows exponentially with the ranking observation size. We show that a spectral algorithm can be combin…

2020

Fast and Accurate Ranking Regression

AISTATS 2020poster

We consider a ranking regression problem in which we use a dataset of ranked choices to learn Plackett-Luce scores as functions of sample features. We solve the maximum likelihood estimation problem by using the Alternating Directions Method of Multipliers (ADMM), effectively separating the learning…