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[1] Bron Cedexaelissee,et al. A Study about Algorithmic Stability and Their Relation to Generalization Performances , 2000 .
[2] Sayan Mukherjee,et al. Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization , 2006, Adv. Comput. Math..
[3] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[4] Regina Nuzzo,et al. Scientific method: Statistical errors , 2014, Nature.
[5] André Elisseeff,et al. Stability and Generalization , 2002, J. Mach. Learn. Res..
[6] D. Freedman. A Note on Screening Regression Equations , 1983 .
[7] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[8] B. Efron. The jackknife, the bootstrap, and other resampling plans , 1987 .
[9] Andreas Christmann,et al. Support Vector Machines , 2008, Data Mining and Knowledge Discovery Handbook.
[10] Shai Ben-David,et al. Understanding Machine Learning: From Theory to Algorithms , 2014 .
[11] R. Lanfear,et al. The Extent and Consequences of P-Hacking in Science , 2015, PLoS biology.
[12] Toniann Pitassi,et al. The reusable holdout: Preserving validity in adaptive data analysis , 2015, Science.
[13] Seymour Geisser,et al. The Predictive Sample Reuse Method with Applications , 1975 .
[14] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[16] Cullen Schaffer,et al. Selecting a classification method by cross-validation , 1993, Machine Learning.
[17] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[18] Ohad Shamir,et al. Learnability and Stability in the General Learning Setting , 2009, COLT.
[19] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[20] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[21] M. Pontil. Leave-one-out error and stability of learning algorithms with applications , 2002 .
[22] Neil D. Lawrence,et al. Dataset Shift in Machine Learning , 2009 .
[23] Gavin C. Cawley,et al. On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation , 2010, J. Mach. Learn. Res..
[24] Luc Devroye,et al. Distribution-free performance bounds for potential function rules , 1979, IEEE Trans. Inf. Theory.
[25] Toniann Pitassi,et al. Guilt-free data reuse , 2017, Commun. ACM.