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Generalization

220 papers

Papers per year

1
27
8
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Papers

Chaining Mutual Information and Tightening Generalization Bounds NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Adversarially Robust Generalization Requires More Data NIPS 2018
Improving Text-to-SQL Evaluation Methodology ACL 2018
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks EMNLP 2018
Exploring Generalization in Deep Learning NIPS 2017
Discriminative State Space Models NIPS 2017
On Optimal Generalizability in Parametric Learning NIPS 2017
Information-theoretic analysis of generalization capability of learning algorithms NIPS 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
Learning Low-Dimensional Metrics NIPS 2017
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Algorithmic Stability and Uniform Generalization NIPS 2015
From Stochastic Mixability to Fast Rates NIPS 2014
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
Stability Bounds for Non-i.i.d. Processes NIPS 2007