Co-occurring keywords · papers mentioning both
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