Kevin Miller

About Kevin Miller

Kevin Miller, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of machine learning, active learning, graph-based semi-supervised learning.

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

Model Change Active Learning in Graph-Based Semi-supervised Learning

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

Dirichlet Active Learning

Batch active learning for multispectral and hyperspectral image segmentation using similarity graphs

Graph-based active learning for surface water and sediment detection in multispectral images

Novel batch active learning approach and its application on the synthetic aperture radar datasets

Active Learning and Uncertainty in Graph-Based Semi-Supervised Learning

Kevin Miller Information

University

Position

___

Citations(all)

182

Citations(since 2020)

170

Cited By

37

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Kevin Miller Skills & Research Interests

machine learning

active learning

graph-based semi-supervised learning

Top articles of Kevin Miller

Model Change Active Learning in Graph-Based Semi-supervised Learning

Communications on Applied Mathematics and Computation

2024/2/17

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering

2023/12

Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning

SIAM Journal on Mathematics of Data Science

2023/12/31

Dirichlet Active Learning

arXiv preprint arXiv:2311.05501

2023/11/9

Batch active learning for multispectral and hyperspectral image segmentation using similarity graphs

2023/7/20

Graph-based active learning for surface water and sediment detection in multispectral images

2023/7/16

Novel batch active learning approach and its application on the synthetic aperture radar datasets

2023/6/13

Active Learning and Uncertainty in Graph-Based Semi-Supervised Learning

2022

Efficient and reliable overlay networks for decentralized federated learning

SIAM Journal on Applied Mathematics

2022

Graph-based active learning for semi-supervised classification of SAR data

2022/5/31

Posterior consistency of semi-supervised regression on graphs

Inverse Problems

2021/9/30

Efficient graph-based active learning with probit likelihood via Gaussian approximations

arXiv preprint arXiv:2007.11126

2020/7/21

See List of Professors in Kevin Miller University(University of California, Los Angeles)

Co-Authors

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