Explore tweets tagged as #GeneralizationError
@longhandnotes
Arvind Iyer
5 years
When can two birds both,.Small and quick, seen in flashes,.Be called of one kind?. #haiku #TooQuickToTell #TooQuickToCall #LooksFamiliar #StillUnknown #GeneralizationError #StillInTraining #SpotTheBird #WhichBird
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@Entropy_MDPI
Entropy MDPI
4 years
#mdpientropy "Population Risk Improvement with Model Compression: An Information-Theoretic Approach" #empiricalrisk.#generalizationerror.#modelcompression.#populationrisk
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@ismanhs
Oksimoron - 19 Oktober 2025!
15 years
@sigantengkalem His name's not in Hieroglyphs. #generalizationError.
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@Entropy_MDPI
Entropy MDPI
3 years
Read #FeaturePaper "Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning" from Leighton Pate Barnes, Alex Dytso and Harold Vincent Poor. #generalizationerror.#informationtheoretic.#federatedlearning
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@Skeptopathy
Skeptopathy Magazine
8 years
@Takethatdoctors @amanda_pompili @ThisMomHCN @DocBastard I agree, your point is? Oh wait. you're making a #GeneralizationError.
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@Satyen_Baindur
Dr. Satyen Baindur
6 years
.@_vaishnavh's #NeurIPS2019 'Outstanding New Directions Award' starts by noting that some calculated 'bounds' on #GeneralizationError of #DeepLearning networks, actually increase with the size of the training set (m), while data show that generalization error ~1/m (or faster).
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@WSS_SUT
10th WSS
5 years
💡 موضوع ارائه.Characterization of the Generalization Error of Learning Algorithms Using Jensen-Shannon Information. 📘 مخاطب: دانشجویان تحصیلات تکمیلی. #Webinar.#WSS_2020. #GeneralizationError.#InformationTheory. ❄️ @WSS_SUT.
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@summarizedml
SummarizedML
3 years
We analyze generalizationerror in unsupervised domain adaptation (UDA) using information-theoretic tools. 📄
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@JamesKerwin9
James Kerwin
4 years
Constructing Consonant Predictive Beliefs from Data with Scenario Theory #Predictivebeliefs #Consonantrandomsets #Generalizationerror #Impreciseprobability #Evidencetheory
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@summarizedml
SummarizedML
2 years
Chart autoencoders can effectively denoise the input data with normal noise, and we establish statistical guarantees on their generalizationerror. 📄
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