Adaptive principal component regression with applications to panel data
Principal component regression (PCR) is a popular technique for fixed-design error-in-
variables regression, a generalization of the linear regression setting in which the observed …
variables regression, a generalization of the linear regression setting in which the observed …
Strategic apple tasting
Algorithmic decision-making in high-stakes domains often involves assigning decisions to
agents with incentives to strategically modify their input to the algorithm. In addition to …
agents with incentives to strategically modify their input to the algorithm. In addition to …
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
We consider a panel data setting in which one observes measurements of units over time,
under different interventions. Our focus is on the canonical family of synthetic control …
under different interventions. Our focus is on the canonical family of synthetic control …
Incentive-Aware Machine Learning for Social Welfare Maximization Under Uncertainty
DD Ngo - 2024 - search.proquest.com
Abstract Machine Learning algorithms are being deployed to aid the decision-making
process of high-stakes domains such as hiring, education, and medical trials. Under the …
process of high-stakes domains such as hiring, education, and medical trials. Under the …