Tom Waknine
PhD Student in Mathematics · Technion
I study the mathematical foundations of machine learning, focusing on generalization, combinatorial dimensions, and sample complexity.
I am a PhD student in mathematics at the Technion – Israel Institute of Technology, advised by Professor Shay Moran.
Publications
Uniform convergence at optimal rate and scale
Noga Alon, Steve Hanneke, Shay Moran, and Tom Waknine
Preprint · 2026
Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale
Shashaank Aiyer, Yishay Mansour, Shay Moran, Han Shao, and Tom Waknine
NeurIPS 2026 Oral
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
Bogdan Chornomaz, Yonatan Koren, Shay Moran, and Tom Waknine
NeurIPS 2025 Spotlight
On Reductions and Representations of Learning Problems in Euclidean Spaces
Bogdan Chornomaz, Shay Moran, and Tom Waknine
STOC 2025
List Sample Compression and Uniform Convergence
Steve Hanneke, Shay Moran, and Tom Waknine
COLT 2024