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Yunwen Lei

The University of Hong Kong

31 papers hereh-index 241.5k citations69 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author15
  • middle author14
  • last author1

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.LG25
  • stat.ML4
  • cs.AI2
affiliations
  • The University of Hong Kong
Homepage
same name
  • Yunwen Lei — 6 papers, h 3
  • Yunwen Lei — 4 papers, h 1
  • Yunwen Lei — 2 papers, h 3
  • Yunwen Lei — 1 paper
  • Yunwen Lei — 1 paper, h 1
  • Yunwen Lei — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152026
most citedMulti-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms

30 citations · 148 across the 30 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 3 cited

On Performance Estimation in Automatic Algorithm Configuration

Shengcai Liu, Ke Tang, Yunwen Lei +1

Over the last decade, research on automated parameter tuning, often referred to as automatic algorithm configuration (AAC), has made significant progress. Although the usefulness o…

cs.LG2019★ 3 cited

Stochastic Proximal AUC Maximization

Yunwen Lei, Yiming Ying

In this paper we consider the problem of maximizing the Area under the ROC curve (AUC) which is a widely used performance metric in imbalanced classification and anomaly detection.…

stat.ML2019★ 19 cited

A Generalization Error Bound for Multi-class Domain Generalization

Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma +3

Domain generalization is the problem of assigning labels to an unlabeled data set, given several similar data sets for which labels have been provided. Despite considerable interes…

cs.LG2019★ 10 cited

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

Yunwen Lei, Ting Hu, Guiying Li +1

Stochastic gradient descent (SGD) is a popular and efficient method with wide applications in training deep neural nets and other nonconvex models. While the behavior of SGD is wel…

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