Learning hurdles for sleeping experts
type: Item
instance of: scholarly article
title: Learning hurdles for sleeping experts
zbMATH Open document ID: 1347.68191
DOI: 10.1145/2090236.2090238
author: Varun Kanade
author: Thomas Steinke
published in: Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
publication date: 2016-10-07T00:00:00Z
Mathematics Subject Classification ID: 68Q32
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68W27
Mathematics Subject Classification ID: 91A60
zbMATH DE Number: 6636330
zbMATH Keywords: lower bounds
zbMATH Keywords: online learning
zbMATH Keywords: sleeping experts
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1145/2090236.2090238
OpenAlex ID: W2128592496
cites work: Effective Strong Dimension in Algorithmic Information and Computational Complexity
cites work: Q5515914
cites work: The Well-Calibrated Bayesian
cites work: THE FRACTIONAL DIMENSION OF A SET DEFINED BY DECIMAL PROPERTIES
cites work: The Complexity of Forecast Testing
cites work: Asymptotic calibration
cites work: Dimension in Complexity Classes
cites work: The dimensions of individual strings and sequences
cites work: Universal prediction
cites work: The reproducible properties of correct forecasts
description: scientific article; zbMATH DE number 6636330