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Advanced Bandit Algorithms Research

TopicLeading institutions, researchers & key papers

Advanced Bandit Algorithms Research is a topic indexed in ScholarIQ from OpenAlex.

What is known about Advanced Bandit Algorithms Research?

ScholarIQrecord summary

This cluster of papers focuses on the optimization of multi-armed bandit problems, including topics such as Bayesian optimization, contextual bandits, online learning, convex optimization, Thompson sampling, regret analysis, Gaussian process optimization, hyperparameter optimization, and adversarial multi-armed bandits.

How many works does Advanced Bandit Algorithms Research have?

ScholarIQindexed works

Advanced Bandit Algorithms Research has 13 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Advanced Bandit Algorithms Research?

ScholarIQopenalex

The OpenAlex for Advanced Bandit Algorithms Research is on the source record.

What are the most-cited papers on Advanced Bandit Algorithms Research?

ScholarIQmost cited works
Bayesian policy reuse
Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy
Machine Learning. 201668 CitationsOPEN ACCESS
Survey of multiarmed bandit algorithms applied to recommendation systems
Gangan Elena, Milos Kudus, Eugene Ilyushin
International journal of open information technologies. 202120 CitationsOPEN ACCESS

Where is Advanced Bandit Algorithms Research research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Advanced Bandit Algorithms Research is open access?

ScholarIQopen access share
67%OPEN ACCESS
Gold
0%
Green
33%
Hybrid
0%
Bronze
33%
Closed
33%

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