When predictions support decisions they may influence the outcome they aim to predict. We
call such predictions performative; the prediction influences the target. Performativity is a …

In performative prediction, predictions guide decision-making and hence can influence the
distribution of future data. To date, work on performative prediction has focused on finding …

Consequential decision-making incentivizes individuals to strategically adapt their behavior
to the specifics of the decision rule. While a long line of work has viewed strategic adaptation …

Predictions about people, such as their expected educational achievement or their credit
risk, can be performative and shape the outcome that they are designed to predict …

Stochastic optimization problems often involve data distributions that change in reaction to
the decision variables. This is the case, for example, when members of the population …

As predictive models are deployed into the real world, they must increasingly contend with
strategic behavior. A growing body of work on strategic classification treats this problem as a …

Deployed supervised machine learning models make predictions that interact with and
influence the world. This phenomenon is called performative prediction by Perdomo et …

Strategic classification studies the interaction between a classification rule and the strategic
agents it governs. Agents respond by manipulating their features, under the assumption that …

We address the question of repeatedly learning linear classifiers against agents who
are\emph {strategically} trying to\emph {game} the deployed classifiers, and we use …

In many predictive decision-making scenarios, such as credit scoring and academic testing,
a decision-maker must construct a model that accounts for agents' propensity to “game” the …