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Strategic classification studies the design of a classifier robust to the manipulation of input by strategic individuals.
A theory of marriage: Part i
G. S. Becker · 1973
Earlier work this paper cites.
Equilibrium points of nonatomic games
D. Schmeidler · 1973
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A theory of marriage: Part i
G. S. Becker · 1973
Earlier work this paper cites.
Equilibrium points of nonatomic games
D. Schmeidler · 1973
Earlier work this paper cites.
Job market signaling
M. Spence · 1978
Earlier work this paper cites.
Job market signaling
M. Spence · 1978
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Optimal auction design
R. B. Myerson · 1981
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Optimal auction design
R. B. Myerson · 1981
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Multitask principal-agent analyses: Incentive contracts, asset ownership, and job design
B. Holmstrom and P. Milgrom · 1991
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Multitask principal-agent analyses: Incentive contracts, asset ownership, and job design
B. Holmstrom and P. Milgrom · 1991
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The symmetric multiple prize all-pay auction with complete information
Y. Barut and D. Kovenock · 1998
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Equality of opportunity
J. E. Roemer · 1998
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The symmetric multiple prize all-pay auction with complete information
Y. Barut and D. Kovenock · 1998
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Equality of opportunity
J. E. Roemer · 1998
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The theory of contests: a survey
L. C. Corchón · 2007
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Strategy in contests-an introduction
K. A. Konrad · 2007
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The theory of contests: a survey
L. C. Corchón · 2007
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Strategy in contests-an introduction
K. A. Konrad · 2007
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Decentralizing equality of opportunity*
C. Calsamiglia · 2009
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Decentralizing equality of opportunity*
C. Calsamiglia · 2009
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The high cost of low educational performance: The long-run economic impact of improving PISA outcomes
E. A. Hanushek and L. Woessmann · 2010
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The high cost of low educational performance: The long-run economic impact of improving PISA outcomes
E. A. Hanushek and L. Woessmann · 2010
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Static prediction games for adversarial learning problems
M. Brückner, C. Kanzow, and T. Scheffer · 2012
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Static prediction games for adversarial learning problems
M. Brückner, C. Kanzow, and T. Scheffer · 2012
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Tournament theory: Thirty years of contests and competitions
B. L. Connelly, L. Tihanyi, T. R. Crook, and K. A. Gangloff · 2014
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Tournament theory: Thirty years of contests and competitions
B. L. Connelly, L. Tihanyi, T. R. Crook, and K. A. Gangloff · 2014
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Strategic classification
M. Hardt, N. Megiddo, C. Papadimitriou, and M. Wootters · 2016
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Multidimensional sorting under random search
I. Lindenlaub and F. Postel-Vinay · 2016
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Large contests
W. Olszewski and R. Siegel · 2016
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Strategic classification
M. Hardt, N. Megiddo, C. Papadimitriou, and M. Wootters · 2016
Earlier work this paper cites.
Multidimensional sorting under random search
I. Lindenlaub and F. Postel-Vinay · 2016
Earlier work this paper cites.
Large contests
W. Olszewski and R. Siegel · 2016
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Fa* ir: A fair top-k ranking algorithm
M. Zehlike, F. Bonchi, C. Castillo, S. Hajian, M. Megahed, and R. Baeza-Yates · 2017
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Fa* ir: A fair top-k ranking algorithm
M. Zehlike, F. Bonchi, C. Castillo, S. Hajian, M. Megahed, and R. Baeza-Yates · 2017
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Mechanism design for social good
R. Abebe and K. Goldner · 2018
Cited alongside, same era.
College assignment as a large contest
A. L. Bodoh-Creed and B. R. Hickman · 2018
Cited alongside, same era.
The Frontiers of Fairness in Machine Learning
A. Chouldechova and A. Roth · 2018
Cited alongside, same era.
Strategic classification from revealed preferences
J. Dong, A. Roth, Z. Schutzman, B. Waggoner, and Z. S. Wu · 2018
Cited alongside, same era.
A short-term intervention for long-term fairness in the labor market
L. Hu and Y. Chen · 2018
Cited alongside, same era.
Delayed impact of fair machine learning
L. T. Liu, S. Dean, E. Rolf, M. Simchowitz, and M. Hardt · 2018
Cited alongside, same era.
Impact of bias on school admissions and targeted interventions
Y. Faenza, S. Gupta, and X. Zhang · 2020
Later among the works it cites.
Turning up the heat: The discouraging effect of competition in contests
D. Fang, T. Noe, and P. Strack · 2020
Later among the works it cites.
Dropping standardized testing for admissions: Differential variance and access
N. Garg, H. Li, and F. Monachou · 2020
Later among the works it cites.
Maximizing welfare with incentive-aware evaluation mechanisms
N. Haghtalab, N. Immorlica, B. Lucier, and J. Z. Wang · 2020
Later among the works it cites.
The disparate equilibria of algorithmic decision making when individuals invest rationally
L. T. Liu, A. Wilson, N. Haghtalab, A. T. Kalai, C. Borgs, and J. Chayes · 2020
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Mechanism design for social good
R. Abebe and K. Goldner · 2018
Cited alongside, same era.
College assignment as a large contest
A. L. Bodoh-Creed and B. R. Hickman · 2018
Cited alongside, same era.
The Frontiers of Fairness in Machine Learning
A. Chouldechova and A. Roth · 2018
Cited alongside, same era.
Strategic classification from revealed preferences
J. Dong, A. Roth, Z. Schutzman, B. Waggoner, and Z. S. Wu · 2018
Cited alongside, same era.
A short-term intervention for long-term fairness in the labor market
L. Hu and Y. Chen · 2018
Cited alongside, same era.
Delayed impact of fair machine learning
L. T. Liu, S. Dean, E. Rolf, M. Simchowitz, and M. Hardt · 2018
Cited alongside, same era.
Later among the works it cites.
Affirmative action policies for top-k candidates selection: with an application to the design of policies for university admissions
M. Mathioudakis, C. Castillo, G. Barnabo, and S. Celis · 2020
Later among the works it cites.
Strategic classification is causal modeling in disguise
J. Miller, S. Milli, and M. Hardt · 2020
Later among the works it cites.
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E. Rolf, M. Simchowitz, S. Dean, L. T. Liu, D. Bjorkegren, M. Hardt, and J. Blumenstock · 2020
Later among the works it cites.
Causal strategic linear regression
Y. Shavit, B. Edelman, and B. Axelrod · 2020
Later among the works it cites.
On the design of consequential ranking algorithms
B. Tabibian, V. Gomez, A. De, B. Schölkopf, and M. G. Rodriguez · 2020
Later among the works it cites.
Reducing disparate exposure in ranking: A learning to rank approach
M. Zehlike and C. Castillo · 2020
Later among the works it cites.
Multiagent evaluation mechanisms
T. Alon, M. Dobson, A. Procaccia, I. Talgam-Cohen, and J. Tucker-Foltz · 2020
Later among the works it cites.
Developments in multi-agent fair allocation
H. Aziz · 2020
Later among the works it cites.
The role of randomness and noise in strategic classification
M. Braverman and S. Garg · 2020
Later among the works it cites.
Fair allocation through selective information acquisition
W. Cai, J. Gaebler, N. Garg, and S. Goel · 2020
Later among the works it cites.
Impact of bias on school admissions and targeted interventions
Y. Faenza, S. Gupta, and X. Zhang · 2020
Later among the works it cites.
Turning up the heat: The discouraging effect of competition in contests
D. Fang, T. Noe, and P. Strack · 2020
Later among the works it cites.
Dropping standardized testing for admissions: Differential variance and access
N. Garg, H. Li, and F. Monachou · 2020
Later among the works it cites.
Maximizing welfare with incentive-aware evaluation mechanisms
N. Haghtalab, N. Immorlica, B. Lucier, and J. Z. Wang · 2020
Later among the works it cites.
The disparate equilibria of algorithmic decision making when individuals invest rationally
L. T. Liu, A. Wilson, N. Haghtalab, A. T. Kalai, C. Borgs, and J. Chayes · 2020
Later among the works it cites.
Affirmative action policies for top-k candidates selection: with an application to the design of policies for university admissions
M. Mathioudakis, C. Castillo, G. Barnabo, and S. Celis · 2020
Later among the works it cites.
Strategic classification is causal modeling in disguise
J. Miller, S. Milli, and M. Hardt · 2020
Later among the works it cites.
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E. Rolf, M. Simchowitz, S. Dean, L. T. Liu, D. Bjorkegren, M. Hardt, and J. Blumenstock · 2020
Later among the works it cites.
Causal strategic linear regression
Y. Shavit, B. Edelman, and B. Axelrod · 2020
Later among the works it cites.
On the design of consequential ranking algorithms
B. Tabibian, V. Gomez, A. De, B. Schölkopf, and M. G. Rodriguez · 2020
Later among the works it cites.
Reducing disparate exposure in ranking: A learning to rank approach
M. Zehlike and C. Castillo · 2020
Later among the works it cites.
Gaming helps! learning from strategic interactions in natural dynamics
Y. Bechavod, K. Ligett, S. Wu, and J. Ziani · 2021
Closest in time.
Contest design with threshold objectives, 2021
E. Elkind, A. Ghosh, and P. Goldberg · 2021
Closest in time.
Best vs. all: Equity and accuracy of standardized test score reporting
S. Kannan, M. Niu, A. Roth, and R. Vohra · 2021
Closest in time.
Test-optional policies: Overcoming strategic behavior and informational gaps
Z. Liu and N. Garg · 2021
Closest in time.
Gaming helps! learning from strategic interactions in natural dynamics
Y. Bechavod, K. Ligett, S. Wu, and J. Ziani · 2021
Closest in time.
Contest design with threshold objectives, 2021
E. Elkind, A. Ghosh, and P. Goldberg · 2021
Closest in time.
Best vs. all: Equity and accuracy of standardized test score reporting
S. Kannan, M. Niu, A. Roth, and R. Vohra · 2021
Closest in time.
Test-optional policies: Overcoming strategic behavior and informational gaps
Z. Liu and N. Garg · 2021
Closest in time.