On Optimal Generalizability in Parametric Learning

14 November 2017

Papers citing "On Optimal Generalizability in Parametric Learning"

5 / 5 papers shown

Title
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 139 2,854 0 14 Mar 2017
Stein Unbiased GrAdient estimator of the Risk (SUGAR) for multiple parameter selection Charles-Alban Deledalle Samuel Vaiter M. Fadili Gabriel Peyré 51 118 0 06 May 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 292 7,883 0 13 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 116 2,437 0 12 Dec 2010
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 145 3,583 0 27 Jul 2009