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Traditional statistical analysis requires that the analysis process and data are independent.
Class of constructive asymptotically good algebraic codes
Jørn Justesen · 1972
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Stability and generalization
Olivier Bousquet and André Elisseeff · 2002
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A multiplicative weights mechanism for privacy-preserving data analysis
Moritz Hardt and Guy N Rothblum · 2010
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Estimating the unseen: an n/log (n)-sample estimator for entropy and support size, shown optimal via new clts
Gregory Valiant and Paul Valiant · 2011
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Preventing false discovery in interactive data analysis is hard
Moritz Hardt and Jonathan Ullman · 2014
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Interactive fingerprinting codes and the hardness of preventing false discovery
Thomas Steinke and Jonathan Ullman · 2014
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Algorithmic stability for adaptive data analysis
Raef Bassily, Kobbi Nissim, Adam Smith, Thomas Steinke, Uri Stemmer, and Jonathan Ullman · 2015
Cited alongside, same era.
The ladder: A reliable leaderboard for machine learning competitions
Avrim Blum and Moritz Hardt · 2015
Cited alongside, same era.
Generalization in adaptive data analysis and holdout reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toni Pitassi, Omer Reingold, and Aaron Roth · 2015
Cited alongside, same era.
The reusable holdout: Preserving validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2015
Cited alongside, same era.
Preserving statistical validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Leon Roth · 2015
Cited alongside, same era.
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Benjamin Recht, and Yoram Singer · 2015
Later among the works it cites.
Controlling bias in adaptive data analysis using information theory
Daniel Russo and James Zou · 2015
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On the frequentist properties of bayesian nonparametric methods
Judith Rousseau · 2016
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Private communication, 2016
Thomas Steinke · 2016
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Learning from the best
David Wind · 2016
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