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As data-driven methods are deployed in real-world settings, the processes that generate the observed data will often react to the decisions of the learner.
Oil field optimization under price uncertainty
Jonsbråten, T. W. (1998) · 1998
Earlier work this paper cites.
A class of stochastic programs with decision dependent random elements
Jonsbråten, T. W., Wets, R. J.-B., and Woodruff, D. L. (1998) · 1998
Earlier work this paper cites.
Nonlinear Systems
Khalil, H. K. (2001) · 2001
Earlier work this paper cites.
Topics in Optimal Transportation
Villani, C. (2003) · 2003
Earlier work this paper cites.
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Goel, V. and Grossmann, I. E. (2004) · 2004
Earlier work this paper cites.
Stochastic Approximation: A Dynamical Systems Viewpoint
Borkar, V. S. (2008) · 2008
Earlier work this paper cites.
Pre-disaster investment decisions for strengthening a highway network
Peeta, S., Sibel Salman, F., Gunnec, D., and Viswanath, K. (2010) · 2010
Earlier work this paper cites.
Stackelberg games for adversarial prediction problems
Brückner, M. and Scheffer, T. (2011) · 2011
Earlier work this paper cites.
Differential Equations, Dynamical Systems, and an Introduction to Chaos
Hirsch, M. W., Smale, S., and Devaney, R. L. (2012) · 2012
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Akyol, E., Langbort, C., and Basar, T. (2016) · 2016
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Dong, J., Roth, A., Schutzman, Z., Waggoner, B., and Wu, Z. S. (2018) · 2018
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The accuracy, fairness, and limits of predicting recidivism
Dressel, J. and Farid, H. (2018) · 2018
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Decision-dependent probabilities in stochastic programs with recourse
Hellemo, L., Barton, P. I., and Tomasgard, A. (2018) · 2018
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Performative prediction in a stateful world
Brown, G., Hod, S., and Kalemaj, I. (2020) · 2020
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Stochastic optimization with decision-dependent distributions
Drusvyatskiy, D. and Xiao, L. (2020) · 2020
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Stochastic optimization for performative prediction
Mendler-Dünner, C., Perdomo, J., Zrnic, T., and Hardt, M. (2020) · 2020
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Strategic classification is causal modeling in disguise
Miller, J., Milli, S., and Hardt, M. (2020) · 2020
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Performative prediction
Perdomo, J., Zrnic, T., Mendler-Dünner, C., and Hardt, M. (2020) · 2020
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State dependent performative prediction with stochastic approximation
Li, Q. and Wai, H.-T. (2021) · 2021
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The disparate effects of strategic manipulation
Hu, L., Immorlica, N., and Vaughan, J. W. (2019) · 2019
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Milli, S., Miller, J., Dragan, A. D., and Hardt, M. (2019) · 2019
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How to learn when data reacts to your model: Performative gradient descent
Izzo, Z., Ying, L., and Zou, J. Y. (2021a)
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How to learn when data gradually reacts to your model
Izzo, Z., Zou, J. Y., and Ying, L. (2021b)
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Outside the echo chamber: Optimizing the performative risk
Miller, J., Perdomo, J. C., and Zrnic, T. (2021) · 2021
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Regret minimization with performative feedback
Jagadeesan, M., Zrnic, T., and Mendler-Dünner, C. (2022) · 2022
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