{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/proximal-causal-learning-with-kernels-two","title":"Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction","arxiv_id":"2105.04544","date":"2021-05-10","proceeding":null,"authors":["Afsaneh Mastouri","Yuchen Zhu","Limor Gultchin","Anna Korba","Ricardo Silva","Matt J. Kusner","Arthur Gretton","Krikamol Muandet"],"abstract":"We address the problem of causal effect estimation in the presence of unobserved confounding, but where proxies for the latent confounder(s) are observed. 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