oracle inequality

Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 Oracle Inequalities for Model Selection in Offline Reinforcement Learning NeurIPS 2022 Aggregated Hold-Out JMLR 2021 Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 Neyman-Pearson classification: parametrics and sample size requirement JMLR 2020 A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019 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 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 NeurIPS 2017 Sharp Oracle Inequalities for Square Root Regularization JMLR 2017 Spatial Decompositions for Large Scale SVMs AISTATS 2017 Adaptive Lasso and group-Lasso for functional Poisson regression JMLR 2016 Aggregation of supports along the Lasso path COLT 2016 A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016 Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016 On the properties of variational approximations of Gibbs posteriors JMLR 2016 Optimal Learning Rates for Localized SVMs JMLR 2016 Optimal rates for total variation denoising COLT 2016