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cs.LG2024
On Reductions and Representations of Learning Problems in Euclidean Spaces
Bogdan Chornomaz, Shay Moran, Tom Waknine
Many practical prediction algorithms represent inputs in Euclidean space and replace the discrete 0/1 classification loss with a real-valued surrogate loss, effectively reducing cl…
cs.LG2024★ 1 cited
List Sample Compression and Uniform Convergence
Steve Hanneke, Shay Moran, Tom Waknine
List learning is a variant of supervised classification where the learner outputs multiple plausible labels for each instance rather than just one. We investigate classical princip…