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Elbert Du

dblp:256/9514 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithms and data structures · 67% Approximation and online algorithms · 33%
Artificial intelligence
1 paper
Learning theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › data streams › streaming algorithms
frequency estimation
0.512021
Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation · ICML 2021
Approximation and online algorithms
learning-augmented algorithms
0.512021
Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation · ICML 2021
Algorithms and data structures › data streams
streaming algorithms
0.512021
Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation · ICML 2021
Machine learning › Learning theory
learning-augmented algorithms
0.112021
Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation · ICML 2021

Methods — techniques the papers use, named apart from their topics

learning-augmented algorithm design · 1.0
YearPublicationVenuePosition
2021 Putting the "Learning" into Learning-Augmented Algorithms for Frequency Estimation
Elbert Du, Franklyn Wang, Michael Mitzenmacher
ICML1