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Xin Tong 0011

dblp:86/2176-11 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 1

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
Learning theory · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning theory › classification › binary classification
neyman-pearson classification		 0.112011
Neyman-Pearson Classification, Convexity and Stochastic Constraints · J. Mach. Learn. Res. 2011
YearPublicationVenuePosition
2011 Neyman-Pearson Classification, Convexity and Stochastic Constraints
Philippe Rigollet, Xin Tong 0011
 J. Mach. Learn. Res.2