Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Chang-Han Rhee

dblp:124/6222 · also Chang-han Rhee · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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.

Artificial intelligence
1 paper
Optimization for machine learning · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Optimization for machine learning › stochastic optimization
heavy-tailed noise		 0.612022
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise · ICLR 2022
Machine learning › Optimization for machine learning
stochastic gradient descent		 0.612022
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise · ICLR 2022

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

truncated heavy-tailed noise · 0.6SGD analysis · 0.6
YearPublicationVenuePosition
2022 Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Sewoong Oh, Chang-Han Rhee
 ICLR3