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Generalization

135 directly classified papers

Papers per year

Papers

Learning Low-Dimensional Metrics NIPS 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
Information-theoretic analysis of generalization capability of learning algorithms NIPS 2017
Discriminative State Space Models NIPS 2017
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Algorithmic Stability and Uniform Generalization NIPS 2015
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
Selective Labeling via Error Bound Minimization NIPS 2012
Generalization Bounds for Domain Adaptation NIPS 2012
Human Rademacher Complexity NIPS 2009