Media Summary: Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks. Balanced 2^K Factorial Experiments and ReRandomization for Increased Precision. Donald Rubin (Harvard University). Should ... Causal Reasoning and Learning Systems. Leon Bottou (Facebook). Bringing It All Together: Matching The Most Impactful ...
2015 Code Plenary Session A - Detailed Analysis & Overview
Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks. Balanced 2^K Factorial Experiments and ReRandomization for Increased Precision. Donald Rubin (Harvard University). Should ... Causal Reasoning and Learning Systems. Leon Bottou (Facebook). Bringing It All Together: Matching The Most Impactful ... Estimation and Evaluation of Optimal Policies. Susan Athey (Stanford University) Escaping from Government and Corporate ... Challenging Problems in Online Controlled Experiments. Ron Kohavi (Microsoft). Incentive Compatible Experimental Design. Iavor Bojinov – Associate Professor, Harvard Business School Emil Palikot – Assistant Professor, Northeastern.
47th Annual U.S. Army Senior Conference - Officer Talent Management. Ramesh Johari – Professor, Management Science and Engineering, Stanford University Hongseok Namkoong – Assistant ... When Randomized Experiments are Plentiful. Dean Eckles (MIT) Insights from Behavioral Economics for Consumer Finance ...
