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Ayse-Nur Arslan

dblp:381/4599 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 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
Mathematical optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
discrete optimization
0.812024
A New Branch-and-Bound Pruning Framework for ℓ0-Regularized Problems · ICML 2024
Mathematical optimization › regularization
regularized optimization
0.812024
A New Branch-and-Bound Pruning Framework for ℓ0-Regularized Problems · ICML 2024

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

pruning · 0.8branch-and-bound · 0.8
YearPublicationVenuePosition
2024 A New Branch-and-Bound Pruning Framework for ℓ0-Regularized Problems
Théo Guyard, Cédric Herzet, Clement Elvira, Ayse-Nur Arslan
ICML4