Sue Ann Hong

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Demo Data from SIGIR 2026 / reviewers in the wild / expert

dblp:20/10550 · DBLP profile ↗

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2ranked-venue papers

0as first author

0since 2021 · last 2012

—ORCID · none

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

Artificial intelligence and machine learning · 2

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.

Artificial intelligence

1 paper

Reinforcement learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Reinforcement learning › bandit contextual bandit	0.1	1	2012	Hierarchical Exploration for Accelerating Contextual Bandits · ICML 2012
Machine learning › Reinforcement learning › exploration exploration strategies	0.1	1	2012	Hierarchical Exploration for Accelerating Contextual Bandits · ICML 2012
Machine learning › Reinforcement learning › exploration › exploration strategies hierarchical exploration	0.1	1	2012	Hierarchical Exploration for Accelerating Contextual Bandits · ICML 2012

Year	Publication	Venue	Position
2012	Hierarchical Exploration for Accelerating Contextual Bandits Yisong Yue, Sue Ann Hong, Carlos Guestrin	ICML	2
2009	First-Order Mixed Integer Linear Programming Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík	UAI	2