Nathan Kallus    [nah-tahn kah-loosh]

Associate Professor
Cornell Tech, Cornell University
Field member: ORIE, CS, Stats, CAM

Research Director
Machine Learning & Inference Research, Netflix

Rainbow Flag Family: Man, Man, Girl, Boy Cornell University Cornell Tech  Netflix  MIT The University of California Berkeley

   kallus@cornell.edu

   GitHub

   Google Scholar

Research group

Always recruiting motivated and talented PhD students for our research group. See here for more information.

Causal ML Book

An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.

Publications and working papers

Filter by type:
Showing 109 of 109 records