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bias-variance decomposition

17 papers

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Co-occurring keywords

ensemble learning (1274) kernel methods (1097) model ensemble (247) semi-supervised learning (2341) double descent (52) statistical learning (351) proper score (2) bregman information (1) ensemble diversity (14) variance analysis (31)

Papers

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026
Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition AISTATS 2023
On the Variance, Admissibility, and Stability of Empirical Risk Minimization NIPS 2023
A Unified Theory of Diversity in Ensemble Learning JMLR 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition NIPS 2023
Bias-Variance Decompositions for Margin Losses AISTATS 2022
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021
The statistical advantage of automatic NLG metrics at the system level ACL 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation AISTATS 2021
Ensembling With a Fixed Parameter Budget: When Does It Help and Why? ACML 2021
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NIPS 2020
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance COLT 2019
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004