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oracle inequality

46 papers

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Co-occurring keywords

model selection (456) support vector machine (978) kernel methods (1097) oracle inequalities (6) convex optimization (1321) kernel ridge regression (111) learning rate (192) high-dimensional regression (142) concentration inequality (81) convergence rate (607)

Papers

Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022
Aggregated Hold-Out JMLR 2021
Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021
Neyman-Pearson classification: parametrics and sample size requirement JMLR 2020
Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019
Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019
A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019
Bayesian Model Selection for Change Point Detection and Clustering ICML 2018
Tensor Regression Meets Gaussian Processes AISTATS 2018
Parameter-Free Online Learning via Model Selection NIPS 2017
Sharp Oracle Inequalities for Square Root Regularization JMLR 2017
Spatial Decompositions for Large Scale SVMs AISTATS 2017
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016
Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
On the properties of variational approximations of Gibbs posteriors JMLR 2016
Structure-Blind Signal Recovery NIPS 2016
Optimal rates for total variation denoising COLT 2016
Aggregation of supports along the Lasso path COLT 2016
Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Optimal Learning Rates for Localized SVMs JMLR 2016