Algorithmic principles for multiclass learning are hard to come by: limits of regularization and proper learning
Read the original at arxiv.org→arXiv:2608.26516v1 Announce Type: new Abstract: Two of the most fundamental questions in statistical learning theory are the following: which prediction problems are learnable, and how should they be learned? For...
Original headline: "Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning"
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- Aug 28, 04:00 UTC arXiv cs.LG lead source Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning