11 citations · 25 across the 14 of their papers we have counts for
3 papers · 1 filter
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments
Mitali Bafna, Max Hopkins, Tali Kaufman +1
Hypercontractivity is one of the most powerful tools in Boolean function analysis. Originally studied over the discrete hypercube, recent years have seen increasing interest in ext…
Realizable Learning is All You Need
Max Hopkins, Daniel M. Kane, Shachar Lovett +1
The equivalence of realizable and agnostic learnability is a fundamental phenomenon in learning theory. With variants ranging from classical settings like PAC learning and regressi…
Bounded Memory Active Learning through Enriched Queries
Max Hopkins, Daniel Kane, Shachar Lovett +1
The explosive growth of easily-accessible unlabeled data has lead to growing interest in active learning, a paradigm in which data-hungry learning algorithms adaptively select info…