4 papers
Sensitivity analysis for contamination in egocentric-network randomized trials with interference
Bar Weinstein, Daniel Nevo
Egocentric-Network Randomized Trials (ENRTs) are increasingly used to estimate causal effects under interference when measuring complete sociocentric network data is infeasible. EN…
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit
Despite the impressive advancements in modern machine learning, achieving robustness in Domain Generalization (DG) tasks remains a significant challenge. In DG, models are expected…
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bar Weinstein, Daniel Nevo
Network interference occurs when treatments assigned to some units affect the outcomes of others. Traditional approaches often assume that the observed network correctly specifies…
Correcting invalid regression discontinuity designs with multiple time period data
Dor Leventer, Daniel Nevo
Regression Discontinuity (RD) designs rely on the continuity of potential outcome means at the cutoff, but this assumption often fails when other treatments or policies are impleme…