Michael Jordan

Regret Bounds for Contextual Bandits Under Slate Feedback

More detail forthcoming.

We gratefully acknowledge research support from Amazon, including access to AWS cloud computing services.

On Theoretical Foundations for Transfer Learning

We aim to provide statistical guarantees for transfer learning in sequential settings under dynamic feedback. This can enable...

Dimension-free Statistical and Computational Guarantee for Optimal Transport

Optimal transport (OT) distances are increasingly used as loss functions for statistical inference, notably in the learning of generative models or supervised learning. For OT ideas to continue to bear fruit in ML, it will be necessary to tackle longstanding challenges, from both statistical and computational points of view: the computation is...