2 citations · 7 across the 9 of their papers we have counts for
9 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…
Understanding Stay-at-home Attitudes through Framing Analysis of Tweets
Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel +6
With the onset of the COVID-19 pandemic, a number of public policy measures have been developed to curb the spread of the virus. However, little is known about the attitudes toward…
Non-Parametric Inference of Relational Dependence
Ragib Ahsan, Zahra Fatemi, David Arbour +1
Independence testing plays a central role in statistical and causal inference from observational data. Standard independence tests assume that the data samples are independent and…
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
Zahra Fatemi, Chen Xing, Wenhao Liu +1
Existing studies addressing gender bias of pre-trained language models, usually build a small gender-neutral data set and conduct a second phase pre-training on the model with such…
Minimizing Interference and Selection Bias in Network Experiment Design
Zahra Fatemi, Elena Zheleva
Current approaches to A/B testing in networks focus on limiting interference, the concern that treatment effects can "spill over" from treatment nodes to control nodes and lead to…
A simple multiforce layout for multiplex networks
Zahra Fatemi, Mostafa Salehi, Matteo Magnani
We introduce multiforce, a force-directed layout for multiplex networks, where the nodes of the network are organized into multiple layers and both in-layer and inter-layer relatio…