Nov 8, 2021 · In this work, we give the first model-independent framework explaining the equivalence of realizable and agnostic learnability: a three-line ...

Think of realizable learning as a “base learner,” and of agnostic learning as an additional property we'd like to satisfy (a sort of noise tolerance). Algorithm ...

More generally, we argue that the equivalence of realizable and agnostic learning is actually a special case of a broader phenomenon we call property ...

Dec 17, 2021 · The equivalence of realizable and agnostic learnability is a fundamental phenomenon in learning theory. With variants ranging from classical ...

Jan 24, 2022 · In this talk, we'll introduce exactly such a framework: a simple, model-independent blackbox reduction between agnostic and realizable ...

Nov 8, 2021 · In this work, we give the first model-independent framework explaining the equivalence of realizable and agnostic learnability: a three-line ...

Nov 10, 2021 · Realizable Learning is All You Need, by Max Hopkins, Daniel Kane, Shachar Lovett, and Gaurav Mahajan. Simplifies the connection between realizable and agnostic ...

Apr 5, 2021 · In the realizable case, this function will be ˜f. In the non-realizable case, it cannot be; consequently, you will have some nonzero error.

Oct 7, 2024 · Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan: Realizable Learning is All You Need. TheoretiCS 3 (2024)

Sep 26, 2017 · The realizability assumption will tell you there's a perfect h∗. (Very strong assumption). This h∗ will have ...