Co-occurring keywords · papers mentioning both
Papers
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
AISTATS 2025
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024
On Leave-One-Out Conditional Mutual Information For Generalization
NeurIPS 2022
Cross-validation Confidence Intervals for Test Error
NeurIPS 2020
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
AISTATS 2020
Bayesian leave-one-out cross-validation for large data
ICML 2019
On Optimal Generalizability in Parametric Learning
NeurIPS 2017
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models
JMLR 2016
Leave-One-Out Kernel Optimization for Shadow Detection
ICCV 2015
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis
JMLR 2011
An Homotopy Algorithm for the Lasso with Online Observations
NeurIPS 2008
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
NeurIPS 2008