A Minimax Theory for Adaptive Data Analysis

Specification searches: Ad hoc inference with nonexperimental data

Leamer, E. E. (1978) · 1978

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Asymptotic statistics

Original

Van der Vaart, A. W. (2000) · 2000

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False-positive psychology undisclosed flexibility in data collection and analysis allows presenting anything as significant

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · 2011

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Optimal inference after model selection

Original

Fithian, W., Sun, D., & Taylor, J. (2014) · 2014

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Preventing false discovery in interactive data analysis is hard

Hardt, M., & Ullman, J. (2014) · 2014

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A significance test for the lasso

Lockhart, R., Taylor, J., Tibshirani, R. J., & Tibshirani, R. (2014) · 2014

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Interactive fingerprinting codes and the hardness of preventing false discovery

Original

Steinke, T., & Ullman, J. (2014) · 2014

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Exact post-selection inference for forward stepwise and least angle regression

Original

Taylor, J., Lockhart, R., Tibshirani, R. J., & Tibshirani, R. (2014) · 2014

Cited alongside, same era.

Generalization in adaptive data analysis and holdout reuse

Original

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. (2015a)

Cited in the paper.

Preserving statistical validity in adaptive data analysis

Dwork, C., Feldman, V., Hardt, M., Pitassi, T., Reingold, O., & Roth, A. L. (2015b)

Cited in the paper.

Algorithmic stability for adaptive data analysis

Original

Bassily, R., Nissim, K., Smith, A., Steinke, T., Stemmer, U., & Ullman, J. (2015) · 2015

Later among the works it cites.

Controlling bias in adaptive data analysis using information theory

Original

Russo, D., & Zou, J. (2015) · 2015

Later among the works it cites.

Statistical learning and selective inference

Taylor, J., & Tibshirani, R. J. (2015) · 2015

Later among the works it cites.

On over-fitting in model selection and subsequent selection bias in performance evaluation

Cawley, G. C., & Talbot, N. L. (2010) · 2079

Closest in time.