algorithmic stability

Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Generalization Bounds for Uniformly Stable Algorithms NeurIPS 2018 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 Stability and Generalization of Learning Algorithms that Converge to Global Optima ICML 2018 Transfer Learning via Learning to Transfer ICML 2018 Variational Network Inference: Strong and Stable with Concrete Support ICML 2018 Algorithmic Stability and Hypothesis Complexity ICML 2017 A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NeurIPS 2017 A Second-order Look at Stability and Generalization COLT 2017 Train faster, generalize better: Stability of stochastic gradient descent ICML 2016 Algorithmic Stability and Uniform Generalization NeurIPS 2015 A Theoretical Analysis of Metric Hypothesis Transfer Learning ICML 2015 Concentration in unbounded metric spaces and algorithmic stability ICML 2014 Learning Theory Analysis for Association Rules and Sequential Event Prediction JMLR 2013 Stability and Hypothesis Transfer Learning ICML 2013 Sequential Event Prediction with Association Rules COLT 2011 Stability Bounds for Stationary φ-mixing and β-mixing Processes JMLR 2010 Generalization Bounds for Ranking Algorithms via Algorithmic Stability JMLR 2009 Stability Bounds for Non-i.i.d. Processes NeurIPS 2007 Algorithmic Stability and Meta-Learning JMLR 2005