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bias-variance tradeoff

84 papers

Papers

What Causes the Test Error? Going Beyond Bias-Variance via ANOVA JMLR 2021 When does preconditioning help or hurt generalization? ICLR 2021 Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate NeurIPS 2020 Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020 Rethinking Bias-Variance Trade-off for Generalization of Neural Networks ICML 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Understanding the Limitations of Variational Mutual Information Estimators ICLR 2020 Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019 Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping JMLR 2019 Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Distributionally Robust Submodular Maximization AISTATS 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019 Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NeurIPS 2019 On Variational Bounds of Mutual Information ICML 2019 Per-Decision Option Discounting ICML 2019 Regularization in directable environments with application to Tetris ICML 2019 Bayesian Network Classifiers Under the Ensemble Perspective PGM 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 Generalization-Aware Structured Regression towards Balancing Bias and Variance IJCAI 2018 On the Dimensionality of Word Embedding NeurIPS 2018 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 k*-Nearest Neighbors: From Global to Local NeurIPS 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016