Tom Waknine

According to our database, Tom Waknine authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Scale-Sensitive Shattering: Learnability and Evaluability at Optimal Scale.

Shashaank Aiyer, Yishay Mansour, Shay Moran, Han Shao, Tom Waknine

CoRR, May, 2026

Margin in Abstract Spaces.

Yair Ashlagi, Roi Livni, Shay Moran, Tom Waknine

CoRR, March, 2026

2025

On Reductions and Representations of Learning Problems in Euclidean Spaces.

Bogdan Chornomaz, Shay Moran, Tom Waknine

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness.

Bogdan Chornomaz, Yonatan Koren, Shay Moran, Tom Waknine

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Spherical Dimension.

Bogdan Chornomaz, Shay Moran, Tom Waknine

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Open problem: Direct Sums in Learning Theory.

Steve Hanneke, Shay Moran, Tom Waknine

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

List Sample Compression and Uniform Convergence.

Steve Hanneke, Shay Moran, Tom Waknine

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024