Harvey Mudd College computer science professor George Montañez and his students Julius Lauw ’20, Dominique Macias ’19, Akshay Trikha ’21 and Julia Vendemiatti ’21 won the Best Paper award at the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) for “The Bias-Expressivity Trade-off.”
The paper, one of three that Montañez and students from his lab presented at the conference, proves a set of results showing the trade-off between bias and expressivity (flexibility). Montañez posted a video of his ICAART presentation of “The Bias-Expressivity Trade-off” on YouTube.
Since 2019, Montañez and his students have turned their research of theoretical machine learning, probability, statistics and search into multiple publications and presentations. The article CS Researchers Present Findings on Machine Learning, Algorithms has links to all the publications.
ICAART 2020 had just a 16% acceptance rate for full papers. The Best Paper award is the first for Montañez’s research lab at Harvey Mudd and his fifth conference award overall.