Concepedia

Robust Ensemble Learning

Robust Ensemble Learning is an ensemble learning paradigm that enhances predictive stability and generalization under noisy, adversarial, or distributionally shifted conditions by integrating multiple base learners through mechanisms explicitly designed to mitigate the impact of outliers, model misspecification, or data perturbations.

180

Publications

10.9K

Citations

646

Authors

294

Institutions

Publications per year

2017–2026

133

Parents

Publications

180

Ensemble Adversarial Training: Attacks and Defenses

Florian Tramèr, Alexey Kurakin, Nicolas Papernot et al. · arXiv (Cornell University) · 2017 · 1.1K citations · Full text

, , +16

DDD: A New Ensemble Approach for Dealing with Concept Drift

Leandro L. Minku, Xin Yao · IEEE Transactions on Knowledge and Data Engineering · 2011 · 438 citations

, , +15

Learning with Pseudo-Ensembles

Phil Bachman, Ouais Alsharif, Doina Precup · arXiv (Cornell University) · 2014 · 361 citations · Full text

, , +13

Learning with ensembles: How overfitting can be useful

Peter Sollich, Anders Krogh · CERN Document Server (European Organization for Nuclear Research) · 1995 · 340 citations · Full text

, , +15

Theoretical Foundations and Algorithms for Outlier Ensembles

Charų C. Aggarwal, Saket Sathe · ACM SIGKDD Explorations Newsletter · 2015 · 284 citations

, , +15

1–5 of 180

Authors

646

  1. SC
    Shiyu Chang

    University of Illinois Urbana-Champaign, United States

    4 publications · 280 citations

    4

    h-index

  2. MC
    Minhao Cheng

    University of California, Los Angeles, United States

    3 publications · 69 citations

    3

    h-index

  3. LL
    Ling Liu

    Georgia Institute of Technology, United States

    3 publications · 131 citations

    3

    h-index

  4. CH
    Cho‐Jui Hsieh

    University of California, Los Angeles, United States

    3 publications · 69 citations

    3

    h-index

  5. WW
    Wenqi Wei

    Georgia Institute of Technology, United States

    3 publications · 131 citations

    3

    h-index

1–5 of 646

Institutions

294

  1. University of Macau

    Macao, Macao

    5 h-index

    12 publications

    435 citations

  2. Chinese Academy of Sciences

    Beijing, China

    5 h-index

    9 publications

    477 citations

  3. Duke University

    Durham, United States

    4 h-index

    10 publications

    339 citations

  4. Georgia Institute of Technology

    Atlanta, United States

    4 h-index

    18 publications

    935 citations

  5. Nanyang Technological University

    Singapore, Singapore

    4 h-index

    6 publications

    472 citations

  6. Harvard University

    Cambridge, United States

    3 h-index

    4 publications

    139 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    5 publications

    144 citations

  8. The University of Texas at Austin

    Austin, United States

    3 h-index

    5 publications

    306 citations

1–8 of 294

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 2.5K citations

    16

    h-index

  2. IEEE Access

    7 publications · 209 citations

    7

    h-index

  3. Scientific Reports

    5 publications · 248 citations

    5

    h-index

  4. Remote Sensing

    4 publications · 220 citations

    4

    h-index

  5. IEEE Transactions on Cybernetics

    3 publications · 177 citations

    3

    h-index

1–5