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Byoungwook Jang

Byoungwook Jang

University of Michigan

H-index: 4

North America-United States

About Byoungwook Jang

Byoungwook Jang, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of topic modeling, nonnegative matrix factorization, stochastic bandit with high-dimensional covariates.

His recent articles reflect a diverse array of research interests and contributions to the field:

High dimensional stochastic linear contextual bandit with missing covariates

Probabilistic Decomposition in Machine Learning Problems

Model-based recursive partitioning algorithm to penalized non-crossing multiple quantile regression for the right-censored data

The sylvester graphical lasso (syglasso)

Byoungwook Jang Information

University

Position

___

Citations(all)

39

Citations(since 2020)

36

Cited By

9

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

1

i10Index(since 2020)

1

Email

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University Profile Page

University of Michigan

Google Scholar

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Byoungwook Jang Skills & Research Interests

topic modeling

nonnegative matrix factorization

stochastic bandit with high-dimensional covariates

Top articles of Byoungwook Jang

Title

Journal

Author(s)

Publication Date

High dimensional stochastic linear contextual bandit with missing covariates

Byoungwook Jang

Julia Nepper

Marc Chevrette

Jo Handelsman

Alfred O Hero

2022/8/22

Probabilistic Decomposition in Machine Learning Problems

Byoungwook Jang

2022

Model-based recursive partitioning algorithm to penalized non-crossing multiple quantile regression for the right-censored data

Communications in Statistics-Simulation and Computation

Jaeoh Kim

Byoungwook Jang

Sungwan Bang

2021/6/28

The sylvester graphical lasso (syglasso)

Yu Wang

Byoungwook Jang

Alfred Hero

2020/6/3

See List of Professors in Byoungwook Jang University(University of Michigan)