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The organizer of a machine learning competition faces the problem of maintaining an accurate leaderboard that faithfully represents the quality of the best submission of each competing team.
A lower bound on the risks of nonparametric estimates of densities in the uniform metric
R. Z. Has’minskii · 1978
Earlier work this paper cites.
The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani, and Jerome Friedman · 2001
Earlier work this paper cites.
Why Most Published Research Findings Are False
John P. A. Ioannidis · 2005
Earlier work this paper cites.
Introduction to Nonparametric Estimation
Alexandre B. Tsybakov · 2008
Cited alongside, same era.
The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time, 2013
Andrew Gelman and Eric Loken · 2013
Cited alongside, same era.
Preserving statistical validity in adaptive data analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Aaron Roth · 2014
Cited alongside, same era.
Preventing false discovery in interactive data analysis is hard
Moritz Hardt and Jonathan Ullman · 2014
Later among the works it cites.
Interactive fingerprinting codes and the hardness of preventing false discovery
Thomas Steinke and Jonathan Ullman · 2014
Later among the works it cites.
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