Media Summary: Estimation and Evaluation of Optimal Policies. Susan Athey (Stanford University) Escaping from Government and Corporate ... Optimal Design of Experiments on Social Networks. Edo Airoldi (Harvard University) Trustworthy Results: Pitfalls in Online ... Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks.
2016 Code Plenary Session 1 - Detailed Analysis & Overview
Estimation and Evaluation of Optimal Policies. Susan Athey (Stanford University) Escaping from Government and Corporate ... Optimal Design of Experiments on Social Networks. Edo Airoldi (Harvard University) Trustworthy Results: Pitfalls in Online ... Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks. Iavor Bojinov – Associate Professor, Harvard Business School Emil Palikot – Assistant Professor, Northeastern. When Randomized Experiments are Plentiful. Dean Eckles (MIT) Insights from Behavioral Economics for Consumer Finance ... Contextual Bandits as Data Collection Algorithms. Susan Athey (Stanford University) Refuted Causal Claims From Observational ...
Machine Learning, Causal Inference, and Estimating Heterogeneous Treatment Effects. Jas Sekhon (UC Berkeley) Machine ... The Necessity for Causation is Overstated. Sendhil Mullainathan (Harvard University) Correlation Rather than Causation? Presentations by Grigory Nikulin - CORDEX achiving: achievements, status and perspectives Linda Mearns - An Overview of ... Panellists: Dr Jeffrey Bader, Senior Fellow, Foreign Policy Studies, The Brookings Institution, and Former Senior Director for Asian ...
