103 citations · 228 across the 20 of their papers we have counts for
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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 and Transfer Entropy for Time Series Analysis
Chainarong Amornbunchornvej, Elena Zheleva, Tanya 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…
Correcting for Selection Bias in Learning-to-rank Systems
Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang +2
Click data collected by modern recommendation systems are an important source of observational data that can be utilized to train learning-to-rank (LTR) systems. However, these dat…