103 citations · 228 across the 20 of their papers we have counts for
20 papers
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference
Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
The presence of interference, where the outcome of an individual may depend on the treatment assignment and behavior of neighboring nodes, can lead to biased causal effect estimati…
A Lens to Pandemic Stay at Home Attitudes
Andrew Wentzel, Lauren Levine, Vipul Dhariwal +5
We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our…
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model
Zahra Fatemi, Minh Huynh, Elena Zheleva +2
Forecasting multivariate time series data, which involves predicting future values of variables over time using historical data, has significant practical applications. Although de…
Contagion Effect Estimation Using Proximal Embeddings
Zahra Fatemi, Elena Zheleva
Contagion effect refers to the causal effect of peers' behavior on the outcome of an individual in social networks. Contagion can be confounded due to latent homophily which makes…
Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence
Shishir Adhikari, Elena Zheleva
Causal inference in networks should account for interference, which occurs when a unit's outcome is influenced by treatments or outcomes of peers. Heterogeneous peer influence (HPI…
Data-Driven Estimation of Heterogeneous Treatment Effects
Christopher Tran, Keith Burghardt, Kristina Lerman +1
Estimating how a treatment affects different individuals, known as heterogeneous treatment effect estimation, is an important problem in empirical sciences. In the last few years,…