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Graduate Lecture Series Week 4: Causal Inference, a Machine Learning Perspective

02 Nov 17

Speaker: Dr Ricardo Silva, Lecturer in Statistics, UCL

Time: 3.30pm

Abstract: In this exposition, we will discuss the common tools used in the machine learning community to describe causal assumptions and how this leads to particular ways of thinking concerning the estimation of causal effects. We will focus on two main case studies: how to combine data from observational and experimental studies; and how to criticise ways of adjusting for confounding in observational studies, given that background knowledge my be imperfect and hide default assumptions with unintended consequences.