uniform convergence

Uniform convergence may be unable to explain generalization in deep learning NeurIPS 2019 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019 Empirical Risk Landscape Analysis for Understanding Deep Neural Networks ICLR 2018 Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018 Uniform Convergence of Gradients for Non-Convex Learning and Optimization NeurIPS 2018 On the Interpretability of Conditional Probability Estimates in the Agnostic Setting AISTATS 2017 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NeurIPS 2017 Uniform Convergence Rates for Kernel Density Estimation ICML 2017 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016 Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back NeurIPS 2016 Supervised learning through the lens of compression NeurIPS 2016 Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NeurIPS 2014 Collective Stability in Structured Prediction: Generalization from One Example ICML 2013 Learnability, Stability and Uniform Convergence JMLR 2010 Estimating Labels from Label Proportions JMLR 2009 Learnability of Gaussians with Flexible Variances JMLR 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 VC Theory of Large Margin Multi-Category Classifiers JMLR 2007 Learnability and the doubling dimension NeurIPS 2006 Nonparametric Quantile Estimation JMLR 2006 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 Generalization Bounds for the Area Under the ROC Curve JMLR 2005