margin bound

Fantastic Generalization Measures are Nowhere to be Found ICLR 2024 On Margins and Derandomisation in PAC-Bayes AISTATS 2022 On Margins and Generalisation for Voting Classifiers NeurIPS 2022 Gradient Methods Never Overfit On Separable Data JMLR 2021 Relative Deviation Margin Bounds ICML 2021 Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound ALT 2021 Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020 A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks ICLR 2018 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NeurIPS 2018 Functional Gradient Boosting based on Residual Network Perception ICML 2018 Spectrally-normalized margin bounds for neural networks NeurIPS 2017 Structured Prediction Theory Based on Factor Graph Complexity NeurIPS 2016 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 Bounds for Linear Multi-Task Learning JMLR 2006 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002