Let be analytic on with for some constants and and all . We show that the median estimate of under random linear scrambling with points converges at the rate for any . We also get a super-polynomial convergence rate for the sample median of random linearly scrambled estimates, when is bounded away from zero. When has a ’th derivative that satisfies a -Hölder condition then the median of means has error for any , if as . The proof techniques use methods from analytic combinatorics that have not previously been applied to quasi-Monte Carlo methods, most notably an asymptotic expression from Hardy and Ramanujan on the number of partitions of a natural number.
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Model theory and agnostic online learning via excellent sets
We use algorithmic methods from online learning to explore some important objects at the intersection of model theory and combinatorics, and find natural ways that algorithmic methods can detect and explain (and improve our understanding of) stable structure in the sense of model theory. The main theorem deals with existence of -excellent sets (which are key to the Stable Regularity Lemma, a theorem characterizing the appearance of irregular pairs in Szemerédi’s celebrated Regularity Lemma). We prove that -excellent sets exist for any in -edge stable graphs in the sense of model theory (equivalently, Littlestone classes); earlier proofs had given this only for or so. We give two proofs: the first uses regret bounds from online learning, the second uses Boolean closure properties of Littlestone classes and sampling. We also give a version of the dynamic Sauer-Shelah-Perles lemma appropriate to this setting, related to definability of types. We conclude by characterizing stable/Littlestone classes as those supporting a certain abstract notion of majority: the proof shows that the two distinct, natural notions of majority, arising from measure and from dimension, densely often coincide.
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- PAR ID:
- 10608517
- Publisher / Repository:
- AMS
- Date Published:
- Journal Name:
- Transactions of the American Mathematical Society
- Volume:
- 377
- Issue:
- 1086
- ISSN:
- 0002-9947
- Page Range / eLocation ID:
- 7753 to 7776
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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