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Efficient and Scalable Search for Statistics

Antoine Gauquier, Simon Ebel, Héléna Galhardas, Théo Galizzi, Ioana Manolescu, Aurélien Peden, Pierre Senellart
May 4, 2026
Published Date

Research Abstract & Technology Focus

International audience

AI Semantic Synergy Context

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openalex.org › research concept
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Efficient and Scalable Search for Statistics

International audience

stackexchange.com › answer
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How to choose between brute force and efficient solution that has overhead?

I know that the most efficient way of doing this is an Approximate nearest neighbor search (ANN) but as far as I can tell all ANN algorithms have overhead One thing that you will need to do to mak...

crossref.org › academic paper
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Optimization with Sparsity-Inducing Penalties

Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. They were first dedicated to linear variable selection but numerous extensions have now eme...

stackexchange.com › answer
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Recommended data structures/algorithms for checking peoples' availability schedules

A sparse matrix can model this kind of data, but it is usually not practical in a database environment and not ideal when the number of users or events is dynamic. Sparse matrices work best when: t...

roipad.com › trend story
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An experimental guide to Answer Engine Optimization

How I optimized my marketing site for AI answer engines. Markdoc, llms.txt, middleware rewrites, and the signals that actually matter.

Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Efficient and Scalable Search for Statistics'?

This literature focuses on: International audience

What other academic literature is closely related to 'Efficient and Scalable Search for Statistics'?

Yes, highly correlated activity was mapped. An entry titled 'Efficient and Scalable Search for Statistics' discusses this: International audience

How is the concept of 'Efficient and Scalable Search for Statistics' being discussed by engineers on StackExchange?

Yes, highly correlated activity was mapped. An entry titled 'How to choose between brute force and efficient solution that has overhead?' discusses this: I know that the most efficient way of doing this is an Approximate nearest neighbor search (ANN) but as far as I can tell all ANN algorithms have o...

Are there commercial applications of 'Efficient and Scalable Search for Statistics' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'An experimental guide to Answer Engine Optimization' discusses this: How I optimized my marketing site for AI answer engines. Markdoc, llms.txt, middleware rewrites, and the signals that actually matter.

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