Representation Learning Based Causal Inference in Observational Studies
This dissertation investigates novel statistical approaches for causal effect estimation in observational settings, where controlled experimentation is infeasible and confounding is the main hurdle in estimating causal effect. As such, deconfounding constructs the main subject of this dissertation,...
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Virginia Tech
2021
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| Online Access: | http://hdl.handle.net/10919/102426 |