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Y. Ke

10 papers hereh-index 11539 citations28 works total

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

author position
  • first author1
  • middle author7
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • stat.ME7
  • cs.LG1
  • math.ST1
  • stat.ML1
same name
  • Y. Ke — 233 papers
  • Y. Ke — 11 papers, h 15
  • Y. Ke — 7 papers, h 14
  • Y. Ke — 5 papers, h 8
  • Y. Ke — 4 papers, h 3
  • Y. Ke — 3 papers, h 4

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 citedModel-free Feature Screening and FDR Control with Knockoff Features

72 citations · 132 across the 10 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

stat.ME2021★ 1 cited

A Generalized Knockoff Procedure for FDR Control in Structural Change Detection

Jingyuan Liu, Ao Sun, Yuan Ke

Controlling false discovery rate (FDR) is crucial for variable selection, multiple testing, among other signal detection problems. In literature, there is certainly no shortage of…

cs.LG2021★ 4 cited

Improving COVID-19 Forecasting using eXogenous Variables

Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari +7

In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques whi…

stat.ME2021

Best Subset Selection: Statistical Computing Meets Quantum Computing

Wenxuan Zhong, Yuan Ke, Ye Wang +3

With the rapid development of quantum computers, quantum algorithms have been studied extensively. However, quantum algorithms tackling statistical problems are still lacking. In t…

stat.ML2021★ 13 cited

Large-scale optimal transport map estimation using projection pursuit

Cheng Meng, Yuan Ke, Jingyi Zhang +3

This paper studies the estimation of large-scale optimal transport maps (OTM), which is a well-known challenging problem owing to the curse of dimensionality. Existing literature a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.