Off-policy estimation: Oftentimes, one needs to estimate the linear functional based on observational data collected from a behavior policy.

Our framework may be thought of as a generalization of the synthetic control and synthetic interventions frameworks, where data is collected via an adaptive intervention assignment policy.

In this paper, we introduce a generalization of the standard Stackelberg Games (SGs) framework: Calibrated Stackelberg Games (CSGs) .

In this paper, we introduce a generalization of the standard Stackelberg Games (SGs) framework: Calibrated Stackelberg Games (CSGs) .

However, differential privacy's worst-case nature entails scaling such noise to the range of the queries even for

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Estimation and inference in statistics pose significant challenges when data are collected adaptively.