Sílvia Casacuberta Puig (2025 cohort) reflects on how a childhood love of mathematics grew into a mission: to improve the impact of algorithms on people’s lives.

An ICML 2026 tutorial on making probabilistic predictions trustworthy for downstream decision-making and collaboration.

YouTube video by FOCS 2025

Omnipredictors are simple prediction functions that encode loss-minimizing predictions with respect to a hypothesis class $H$, simultaneously for every loss function within a class of losses $L$. In t...

We present connections between the recent literature on multigroup fairness for prediction algorithms and classical results in computational complexity. Multiaccurate predictors are correct in expecta...

Multiaccuracy and multicalibration are multigroup fairness notions for prediction that have found numerous applications in learning and computational complexity. They can be achieved from a single lea...

Large language models such as ChatGPT come with filters to keep certain info from getting out. A new mathematical argument shows that systems like this can never be completely safe.

Videos from the 66th IEEE Symposium on Foundations of Computer Science (FOCS) 2025