4/ On more complex machine-learning tasks, difFOCI performs favorably in terms of Worst group accuracy across several benchmarks:

3/ On standard classical feature selection tasks, difFOCI outperforms standard methods, selecting only a few informative, yet diverse features

1/ Happy to share my first accepted paper as a PhD student at Meta and ENS, Paris which I will present at @iclr-conf.bsky.social:

📚 Our work proposes difFOCI, a novel rank-based objective for ✨better feature learning✨

In collab with David Lopez-Paz, @giuliobiroli.bsky.social and Levent Sagun!