Ensemble Learning

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Overview

Ensemble learning studies how to combine predictions from multiple models, from Random Forests and boosting to stacking, voting, and mixtures of experts. Methods may average outputs, learn weights from validation data, or select and route among specialists for each example, with applications ranging from tabular prediction and medical imaging to weather forecasting and language models. Combining models can reduce errors and quantify uncertainty, but gains depend on whether their mistakes are complementary rather than correlated. Current work also weighs accuracy against calibration, computational cost, distribution shifts, and leakage-safe evaluation, while developing theoretical guarantees for aggregation and boosting.

Latest papers

CardsList

278 papers25 papers in the last four weeks, down 24% on the four weeks before. 0.1% of all new papers.

  1. An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction

    Mar 19, 2026Ezekiel Nii Noye Nortey, Jones Asante-Koranteng, Marcellin Atemkeng +4Ensemble LearningCredit Scoring

    Department of Statistics and Actuarial Science, University of Ghana, P. O. Box LG 115, Legon, Accra, Ghana. · Department of Statistics, Tali Graduate school, Dominion University College, P. O. Box LG 80, Legon, Accra,Ghana. · Department of Mathematics, Rhodes University, P.O. Box 94, Makhanda, 6140, Grahamstown, South Africa. +4

  2. EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection

    Mar 18, 2026Chenyang Zhu, Maorong Wang, Jun Liu +2Ensemble LearningTool-Using Agents

    The University of Tokyo Tokyo, Japan · National Institute of Informatics Tokyo, Japan

  3. EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance

    Mar 15, 2026Mike AmegaEnsemble LearningDynamic Regret Minimization

    Independent Researcher, Windsor, Ontario, Canada

  4. BROTHER: Behavioral Recognition Optimized Through Heterogeneous Ensemble Regularization for Ambivalence and Hesitancy

    Mar 15, 2026Alexandre Pereira, Bruno Fernandes, Pablo BarrosAmbivalence and Hesitancy RecognitionAffective Computing

    University of Pernambuco, Recife, Brazil

  5. Exploring label correlations using decision templates for ensemble of classifier chains

    Mar 13, 2026Victor F. Rocha, Alexandre L. Rodrigues, Thiago Oliveira-Santos +1Multi-Label ClassificationEnsemble Learning

    Department of Statistics, Federal University of Espírito Santo, Vitória, Espírito Santo, 29075-910, Brazil

  6. FraudFox: Adaptable Fraud Detection in the Real World

    Mar 13, 2026Matthew Butler, Yi Fan, Christos FaloutsosFinancial Fraud DetectionEnsemble Learning

    Amazon.com, Inc., 410 Terry Ave N, Seattle WA 98109, U.S.A. · Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, U.S.A.

  7. HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data

    Mar 11, 2026Jannis Maier, Lennart PuruckerEnsemble LearningTabular Prediction

    Helmholtz-Zentrum Berlin · TU Dortmund · Prior Labs +1

  8. InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling

    Mar 9, 2026Eric Roginek, Jingyan Xu, D. Frank. HsuEnsemble Learning

    Department of Computer and Information Science, Fordham University, New York, NY 10023.

  9. Ensemble Learning with Sparse Hypercolumns

    Mar 6, 2026Julia Dietlmeier, Vayangi Ganepola, Oluwabukola G. Adegboro +3Few-Shot Medical Image SegmentationEnsemble Learning

    Insight Research Ireland Centre for Data Analytics, Dublin City University, Glasnevin 9, Dublin, Ireland · Research Ireland Centre for Research Training in Machine Learning (ML-Labs), Dublin City University, Glasnevin 9, Dublin, Ireland · School of Computing, Dublin City University, Glasnevin 9, Dublin, Ireland

  10. Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means

    Mar 4, 2026Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso +2Ensemble LearningDeep Ensembles

    Université Côte d’Azur, Inria, CNRS, I3S/LJAD, Maasai, Nice, France · Julius-Maximilians-Universität Würzburg, Institute for Computer Science / CAIDAS, Würzburg, Germany

  11. ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk

    Mar 3, 2026Sanjay MishraStacked Ensemble LearningFinancial Fraud Detection

    IEEE Member Raleigh, NC, USA

  12. GeNeX: Genetic Network eXperts framework for addressing Validation Overfitting

    Feb 28, 2026Emmanuel Pintelas, Ioannis E. LivierisEnsemble LearningModel Merging

    Department of Statistics & Insurance Science, University of Piraeus, GR 18534, Greece · Department of Business & Organization Administration, University of Peloponnese, GR 24100, Greece

  13. An Explainable Ensemble Framework for Alzheimer's Disease Prediction Using Structured Clinical and Cognitive Data

    Feb 26, 2026Nishan MitraAlzheimer's Disease ClassificationClinical Prediction

    Computer Science & Engineering (AI&ML), Institute of Engineering & Management, Kolkata, India

  14. Model Agreement via Anchoring

    Feb 26, 2026Eric Eaton, Surbhi Goel, Marcel Hussing +4Statistical Learning TheoryEnsemble Learning

    Department of Computer and Information Sciences, University of Pennsylvania · Department of Computer Science, The Johns Hopkins University

  15. Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

    Feb 25, 2026Md. Tahsin Amin, Tanim Ahmmod, Zannatul Ferdus +5Cardiovascular Risk PredictionClinical Risk Prediction

    Faculty of Computer Science & Engineering, Patuakhali Science & Technology University, Bangladesh · Dept. of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Bangladesh · Dept. of Industrial & Production Engineering, Ahsanullah University of Science & Technology, Bangladesh +3

  16. LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classification

    Feb 24, 2026Niloofar Jazaeri, Hilmi R. Dajani, Marco Janeczek +1Audio ClassificationEnsemble Learning

    University of Ottawa, Ottawa, Canada · Crynostics Inc., Canada

  17. Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration

    Feb 23, 2026Hasan Amin, Ming Yin, Rajiv KhannaHuman-AI ComplementarityHuman-AI Collaboration

    Purdue University, USA

  18. Ensemble Machine Learning and Statistical Procedures for Dynamic Predictions of Time-to-Event Outcomes

    Feb 23, 2026Nina van Gerwen, Sten Willemsen, Bettina E. Hansen +9Survival AnalysisEnsemble Learning

    Department of Biostatistics, Erasmus University Medical Center, the Netherlands · Department of Epidemiology, Erasmus University Medical Center, the Netherlands · Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, European Reference Network on Hepatological Diseases (ERN Rare-Liver), Saint-Antoine Hospital, Assistance Publique - Hˆopitaux de Paris; Inserm UMR S938, Saint-Antoine Research Center, Sorbonne University, Paris, France +7

  19. (α,β)(α,β)-Stability for Boosting Vector-Valued Prediction

    Feb 21, 2026Jian Qian, Shu GeEnsemble LearningStatistical Learning Theory

    The University of Hong Kong · Independent Researcher

  20. A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN

    Feb 19, 2026Asif Hasan Chowdhury, Md. Fahim Islam, M Ragib Anjum Riad +3Medical DiagnosisChest X-Ray Classification

    BRAC University, Dhaka-1212, Bangladesh

  21. StackingNet: Collective Inference Across Independent AI Foundation Models

    Feb 14, 2026Siyang Li, Chenhao Liu, Dongrui Wu +2Ensemble LearningLanguage Model Ensembles

    School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China. · School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

  22. Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles

    Feb 13, 2026Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2Gradient-Boosted Decision TreesEnsemble Learning

    Vrije Universiteit Brussel, Brussels, Belgium · Norwegian University of Science and Technology, Trondheim, Norway

  23. Is BatchEnsemble a Single Model? On Calibration and Diversity of Efficient Ensembles

    Jan 23, 2026Anton Zamyatin, Patrick Indri, Sagar Malhotra +1Ensemble LearningEnsemble Diversity

    TU Wien

  24. Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting

    Dec 27, 2025Chuantao Li, Zhi Li, Jiahao Xu +2Class-Imbalanced LearningEnsemble Learning

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China · School of Mathematics and Computer, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China

  25. PISA: Prioritized Invariant Subgraph Aggregation for Out-of-Distribution Generalization on Graphs

    Nov 27, 2025Ali Ghasemi, Farooq Ahmad Wani, Maria Sofia Bucarelli +1OOD GeneralizationInvariant Representation Learning

    Sapienza University of Rome · Université Côte d’Azur, CNRS, Inria, I3S

  26. Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits

    Oct 12, 2025Jiazheng Sun, Weixin Wang, Pan XuEnsemble LearningContextual Bandits

    Duke University

  27. CRPS-LAM: Probabilistic Regional Weather Forecasting with Continuous Ranked Probability Score

    Oct 10, 2025Erik Larsson, Joel Oskarsson, Tomas Landelius +1Graph Neural NetworksEnsemble Learning

    Linköping University · ETH AI Center · SMHI & Linköping University

  28. Robust and Efficient Finetuning of Vision Foundation Models via Implicit Ensembling

    Oct 8, 2025Masih Aminbeidokhti, Heitor Rapela Medeiros, Eric Granger +1Vision Foundation Model AdaptationOOD Generalization

  29. Semantics-Aware Hierarchical Consensus Learning for Remote Sensing Image Classification

    Oct 6, 2025Giulio Weikmann, Gianmarco Perantoni, Lorenzo BruzzoneHierarchical ClassificationRemote Sensing

    Department of Information Engineering and Computer Science, University of Trento, 38123 Trento, Italy

  30. Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction

    Aug 25, 2025Zekun Ni, Jonathan Weyn, Hang Zhang +7Ensemble LearningData Assimilation

    Microsoft Corporation. · Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.