ML@GT at ICML 2020

The International Conference on Machine Learning (ICML) received nearly 5,000 submissions for its 2020 conference and accepted 1,088 papers. Machine Learning Center at Georgia Tech (ML@GT) researchers authored nine accepted papers. The papers explore topics like privacy, semantics in predictive agents, data science, and artificial intelligence. One paper, Boosting Frank-Wolfe by Chasing Gradients, proposes a new state-of-the-art algorithm for constrained optimization, an area already addressed in work accepted in 2019. "I think we're going to see a lot more work moving in the direction of general artificial intelligence, especially work that is trying to combine learning and reasoning," said Le Song, an associate director at ML@GT.