Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection

24 December 2020

Papers citing "Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection"

6 / 6 papers shown

Title
Approximate Cross-validation: Guarantees for Model Assessment and Selection Ashia Wilson Maximilian Kasy Lester W. Mackey 10 23 0 02 Mar 2020
On Optimal Generalizability in Parametric Learning Ahmad Beirami Meisam Razaviyayn Shahin Shahrampour Vahid Tarokh 25 52 0 14 Nov 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 50 349 0 06 Sep 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 304 8,999 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 47 1,648 0 02 Jun 2016
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 103 3,583 0 27 Jul 2009