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generalization error bound

51 papers

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Co-occurring keywords

generalization bound (652) generalization error (285) deep neural network (1803) semi-supervised learning (2341) decision tree (322) rademacher complexity (109) multi-class classification (280) reproducing kernel hilbert space (334) feature selection (649) transfer learning (5449)

Papers

Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Learning from Label Proportions: A Mutual Contamination Framework NIPS 2020
Learning Stability Certificates from Data CORL 2020
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020
Adaptive Adversarial Multi-task Representation Learning ICML 2020
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019
Multi-class Heterogeneous Domain Adaptation JMLR 2019
On Robustness of Principal Component Regression NIPS 2019
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm IJCAI 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019
Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018
Multi-Class Learning: From Theory to Algorithm NIPS 2018
Learning Deep ResNet Blocks Sequentially using Boosting Theory ICML 2018
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data ICML 2017
Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017
Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017
Localized Multiple Kernel Learning—A Convex Approach ACML 2016
Generalization error bounds for learning to rank: Does the length of document lists matter? ICML 2015
Analysis of Learning from Positive and Unlabeled Data NIPS 2014
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
Tree Decomposition for Large-Scale SVM Problems JMLR 2010
Generalization Error Bounds for Threshold Decision Lists JMLR 2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003