Kyriakos Axiotis
Kyriakos is a research scientist working on the Algorithms & Optimization team in New York. He is interested in efficient ML, including efficient optimization, model/data/systems efficiency, as well as ML interpretability. He received his PhD from MIT in the theory of graph algorithms and optimization and his BSc from the National Technical University of Athens. Examples of recent research interests include sparse optimization, model compression, neural architecture search, data selection and attribution.
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