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Causal inference : a Tensor's perspective

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Figure 1.1: Tensor of potential outcomes M for a particular metric p .
Figure 1.2: Observation tensor Z for a particular metric p , where each slice represents the observa- observa-tion patterns associated with the corresponding control or intervenobserva-tion
Table 1.1: Comparison with some notable Lasso-based works Loh and Wainwright (2012); Datta and Zou (2017); Rosenbaum and Tsybakov (2013) in the high-dimensional error-in-variable regression literature.
Figure 1.3: RSC predicts counterfactual potential outcomes under control (light gray) for the target unit, which is exposed to some intervention (blue) after T
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