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We propose a theoretical framework for the problem of learning a real-valued function which meets fairness requirements.
1906
Earlier work this paper cites.
1908
Earlier work this paper cites.
1912
Earlier work this paper cites.
[author] Gilbert, E.E. (1952). A comparison of signalling alphabets. The Bell system technical journal 31 504–522
1952
Earlier work this paper cites.
[author] Fréchet, M.M. (1957). Sur la distance de deux lois de probabilité. Comtes Rendus Hebdomadaires des Seances de l’Academie des Sciences 244 689–692
1957
Earlier work this paper cites.
[author] Varshamov, R.R. (1957). Estimate of the number of signals in error correcting codes. Dokl. Akad. Nauk SSSR 117 739–-741
1957
Earlier work this paper cites.
[author] Chen, M.M., Gao, C.C. and Ren, Z.Z. (2018). Robust covariance and scatter matrix estimation under Huber’s contamination model. The Annals of Statistics 46 1932–1960
1960
Earlier work this paper cites.
[author] Stone, C.C. (1977). Consistent nonparametric regression. Ann. Statist. 595–620
1977
Earlier work this paper cites.
[author] Osborne, M.M. and Rubinstein, A.A. (1994). A Course in Game Theory Technical Report, The MIT Press
1994
Earlier work this paper cites.
[author] Gangbo, W.W. and Święch, A.A. (1998). Optimal maps for the multidimensional Monge-Kantorovich problem. Communications on Pure and Applied Mathematics: A Journal Issued by the Courant Institute of Mathematical Sciences 51 23–45
1998
Earlier work this paper cites.
[author] Laurent, B.B. and Massart, P.P. (2000). Adaptive estimation of a quadratic functional by model selection. Annals of Statistics 1302–1338
2000
Earlier work this paper cites.
[author] Nemirovski, A.A. (2000). TOPICS IN NON-PARAMETRIC STATISTICS. Lecture Notes in Mathematics 1738 86–282
2000
Earlier work this paper cites.
[author] Van der Vaart, Aad WA. W. (2000). Asymptotic statistics 3. Cambridge university press
2000
Earlier work this paper cites.
[author] Catoni, O.O. (2004). Statistical learning theory and stochastic optimization. Ecole d’été de probabilités de Saint-Flour XXXI-2001. Springer Collection : Lecture notes in mathematics n°1851
2001
Earlier work this paper cites.
2001
Earlier work this paper cites.
2002
Earlier work this paper cites.
2003
Earlier work this paper cites.
[author] Tsybakov, A.A. (2003). Optimal rates of aggregation. In Learning theory and kernel machines 303–313. Springer
2003
Earlier work this paper cites.
[author] Villani, C.C. (2003). Topics in Optimal Transportation. American Mathematical Society
2003
Earlier work this paper cites.
2005
Earlier work this paper cites.
2005
Earlier work this paper cites.
[author] Vovk, V.V., Gammerman, A.A. and Shafer, G.G. (2005). Algorithmic learning in a random world. Springer Science & Business Media
2005
Earlier work this paper cites.
[author] Györfi, L.L., Kohler, M.M., Krzyzak, A.A. and Walk, H.H. (2006). A distribution-free theory of nonparametric regression. Springer Science & Business Media
2006
Earlier work this paper cites.
[author] Hunter, J. D.J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering 9 90–95
2007
Earlier work this paper cites.
Calders, T
2009
Cited alongside, same era.
[author] Tsybakov, A.A. (2009). Introduction to nonparametric estimation. Springer Series in Statistics. Springer, New York
2009
Cited alongside, same era.
[author] Kloeckner, B.B. (2010). A geometric study of Wasserstein spaces: Euclidean spaces. Annali della Scuola Normale Superiore di Pisa-Classe di Scienze 9 297–323
2010
Cited alongside, same era.
2010
Cited alongside, same era.
[author] Agueh, M.M. and Carlier, G.G. (2011). Barycenters in the Wasserstein space. SIAM Journal on Mathematical Analysis 43 904–924
2011
Cited alongside, same era.
Zafar, M. B
2017
Later among the works it cites.
[author] Agarwal, A.A., Beygelzimer, A.A., Dudík, M.M., Langford, J.J. and Wallach, H.H. (2018). A reductions approach to fair classification. International Conference on Machine Learning
2018
Later among the works it cites.
Donini, M
2018
Later among the works it cites.
2018
Later among the works it cites.
Komiyama, J
2018
Later among the works it cites.
[author] Lei, J.J., G’Sell, M.M., Rinaldo, A.A., Tibshirani, R.R. and Wasserman, L.L. (2018). Distribution-free predictive inference for regression. Journal of the American Statistical Association 113 1094–1111
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[author] Audibert, J. -Y. J. and Catoni, O.O. (2011). Robust linear least squares regression. The Annals of Statistics 39 2766–2794
2011
Cited alongside, same era.
[author] Pedregosa, F.F., Varoquaux, G.G., Gramfort, A.A., Michel, V.V., Thirion, B.B., Grisel, O.O., Blondel, M.M., Prettenhofer, P.P., Weiss, R.R., Dubourg, V.V., Vanderplas, J.J., Passos, A.A., Cournapeau, D.D., Brucher, M.M., Perrot, M.M. and Duchesnay, E.E. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12 2825–2830
2011
Cited alongside, same era.
[author] Van Der Walt, S.S., Colbert, C.C. and Varoquaux, G.G. (2011). The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering 13 22
2011
Cited alongside, same era.
[author] Bertsimas, D.D., Farias, V.V. and Trichakis, N.N. (2012). On the efficiency-fairness trade-off. Management Science 58 2234–2250
2012
Cited alongside, same era.
Dwork, C
2012
Cited alongside, same era.
Calders, T
2013
Cited alongside, same era.
[author] Kerkyacharian, G.G., Tsybakov, A.A., Temlyakov, V.V., Picard, D.D. and Koltchinskii, V.V. (2014). Optimal exponential bounds on the accuracy of classification. Constructive Approximation 39 421–444
2014
Cited alongside, same era.
2018
Later among the works it cites.
Lipton, Z
2018
Later among the works it cites.
Madras, D
2018
Later among the works it cites.
Agarwal, A
2019
Later among the works it cites.
[author] Barocas, SolonS., Hardt, MoritzM. and Narayanan, ArvindA. (2019). Fairness and Machine Learning. fairmlbook.org http://www.fairmlbook.org
2019
Later among the works it cites.
[author] Bobkov, S.S. and Ledoux, M.M. (2019). One-Dimensional Empirical Measures, Order Statistics, and Kantorovich Transport Distances. Memoirs of the American Mathematical Society. American Mathematical Society
2019
Later among the works it cites.
[author] Fitzsimons, J.J., Al Ali, A.A., Osborne, M.M. and Roberts, S.S. (2019). A general framework for fair regression. Entropy 21 741
2019
Later among the works it cites.
Gordaliza, P
2019
Later among the works it cites.
[author] Haas, C.C. (2019). The Price of Fairness-A Framework to Explore Trade-Offs in Algorithmic Fairness. arXiv preprint arXiv
2019
Later among the works it cites.
[author] Wick, M.M., Panda, S.S. and Tristan, J. -B. J. (2019). Unlocking Fairness: a Trade-off Revisited. In Advances in Neural Information Processing Systems 32 8783–8792. Curran Associates, Inc
2019
Later among the works it cites.
[author] Zink, A.A. and Rose, S.S. (2019). Fair regression for health care spending. Biometrics n/a
2019
Later among the works it cites.
Chiappa, S
2020
Closest in time.
[author] Jiang, R.R., Pacchiano, A.A., Stepleton, T.T., Jiang, H.H. and Chiappa, S.S. (2020). Wasserstein fair classification. Uncertainty in Artificial Intelligence Conference
2020
Closest in time.
[author] Oneto, L.L. and Chiappa, S.S. (2020). Fairness in Machine Learning. In Recent Trends in Learning From Data 155–196. Springer
2020
Closest in time.
Oneto, L
2020
Closest in time.
Oneto, L
2020
Closest in time.
[author] Plečko, D.D. and Meinshausen, N.N. (2020). Fair data adaptation with quantile preservation. Journal of Machine Learning Research 21 1–44
2020
Closest in time.
[author] Barber, R.R., Candes, E.E., Ramdas, A.A. and Tibshirani, R.R. (2021). The limits of distribution-free conditional predictive inference. Information and Inference: A Journal of the IMA 10 455–482
2021
Closest in time.