My research focuses on the foundations of geometric deep learning methods, learning in the context of stochastic phenomena, and applications to quantitative finance.
- NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation - JMLR - Volume 22, 1-52, (2021).
- The Universal Approximation Property - Ann. Math. Artif. Intell. - 89, 435–469 (2021)
Select Conference Proceedings:
- Optimizing Optimizers: Regret-optimal gradient descent algorithms - Conference on Learning Theory, 2021.
- Non-Euclidean Universal Approximation - Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
Keeping a low profile.
This user hasn't posted yet.