18 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…
Variable-lag Granger Causality for Time Series Analysis
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Granger causality is a fundamental technique for causal inference in time series data, commonly used in the social and biological sciences. Typical operationalizations of Granger c…
Learning Triggers for Heterogeneous Treatment Effects
Christopher Tran, Elena Zheleva
The causal effect of a treatment can vary from person to person based on their individual characteristics and predispositions. Mining for patterns of individual-level effect differ…