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 ... Contextual Bandits as Data Collection Algorithms. Susan Athey (Stanford University) Refuted Causal Claims From Observational ...

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 ... Contextual Bandits as Data Collection Algorithms. Susan Athey (Stanford University) Refuted Causal Claims From Observational ... When Randomized Experiments are Plentiful. Dean Eckles (MIT) Insights from Behavioral Economics for Consumer Finance ... Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks. Machine Learning, Causal Inference, and Estimating Heterogeneous Treatment Effects. Jas Sekhon (UC Berkeley) Machine ...

SpaceX CEO Elon Musk talks with Recode's Kara Swisher and The Verge's Walt Mossberg about his plans to send a The Necessity for Causation is Overstated. Sendhil Mullainathan (Harvard University) Correlation Rather than Causation? Panelists: David Parkes (Harvard), Alessandro Acquisti (CMU), Catherine Tucker (MIT), Sandy Pentland (MIT), Susan Athey ... The 2015 IEEE MIT Undergraduate Research Technology Conference (URTC) brought together undergraduates around the ... Panellists: Dr Jeffrey Bader, Senior Fellow, Foreign Policy Studies, The Brookings Institution, and Former Senior Director for Asian ... Presentations by Grigory Nikulin - CORDEX achiving: achievements, status and perspectives Linda Mearns - An Overview of ...

Photo Gallery

2016 CODE Plenary Session 1: Susan Athey and Catherine Tucker
2016 CODE Plenary Session 4: Edo Airoldi and Ron Kohavi
2018 CODE Plenary Session 1: Susan Athey and Ron Kohavi
2016 CODE Plenary Session 2: Dean Eckles and Antoinette Schoar
2015 CODE Plenary Session A - Sendhil Mullainathan, Susan Athey, Eric Horvitz
2016 CODE Plenary Session 3: Jas Sekhon and Johan Ugander
Elon Musk | Full interview | Code Conference 2016
2014 CODE Plenary Session L - Sendhil Mullainathan, Claudia Perlich, Dan Wagner
GC2016: May 16 - Plenary Session 1 #UMCGC
2016 CODE Fireside Panel  - "The Tyranny of Algorithms?"
Opening Plenary
Singapore Forum 2016 Plenary Session 1: New Model of Great Powers Relations: What it Means for Asia?
View Detailed Profile
2016 CODE Plenary Session 1: Susan Athey and Catherine Tucker

2016 CODE Plenary Session 1: Susan Athey and Catherine Tucker

Estimation and Evaluation of Optimal Policies. Susan Athey (Stanford University) Escaping from Government and Corporate ...

2016 CODE Plenary Session 4: Edo Airoldi and Ron Kohavi

2016 CODE Plenary Session 4: Edo Airoldi and Ron Kohavi

Optimal Design of Experiments on Social Networks. Edo Airoldi (Harvard University) Trustworthy Results: Pitfalls in Online ...

2018 CODE Plenary Session 1: Susan Athey and Ron Kohavi

2018 CODE Plenary Session 1: Susan Athey and Ron Kohavi

Contextual Bandits as Data Collection Algorithms. Susan Athey (Stanford University) Refuted Causal Claims From Observational ...

2016 CODE Plenary Session 2: Dean Eckles and Antoinette Schoar

2016 CODE Plenary Session 2: Dean Eckles and Antoinette Schoar

When Randomized Experiments are Plentiful. Dean Eckles (MIT) Insights from Behavioral Economics for Consumer Finance ...

2015 CODE Plenary Session A - Sendhil Mullainathan, Susan Athey, Eric Horvitz

2015 CODE Plenary Session A - Sendhil Mullainathan, Susan Athey, Eric Horvitz

Machine Learning to Test Theories. Sendhil Mullainathan (Harvard University). Inference in Experiments on Networks.

2016 CODE Plenary Session 3: Jas Sekhon and Johan Ugander

2016 CODE Plenary Session 3: Jas Sekhon and Johan Ugander

Machine Learning, Causal Inference, and Estimating Heterogeneous Treatment Effects. Jas Sekhon (UC Berkeley) Machine ...

Elon Musk | Full interview | Code Conference 2016

Elon Musk | Full interview | Code Conference 2016

SpaceX CEO Elon Musk talks with Recode's Kara Swisher and The Verge's Walt Mossberg about his plans to send a

2014 CODE Plenary Session L - Sendhil Mullainathan, Claudia Perlich, Dan Wagner

2014 CODE Plenary Session L - Sendhil Mullainathan, Claudia Perlich, Dan Wagner

The Necessity for Causation is Overstated. Sendhil Mullainathan (Harvard University) Correlation Rather than Causation?

GC2016: May 16 - Plenary Session 1 #UMCGC

GC2016: May 16 - Plenary Session 1 #UMCGC

http://www.umcgc.org May 16,

2016 CODE Fireside Panel  - "The Tyranny of Algorithms?"

2016 CODE Fireside Panel - "The Tyranny of Algorithms?"

Panelists: David Parkes (Harvard), Alessandro Acquisti (CMU), Catherine Tucker (MIT), Sandy Pentland (MIT), Susan Athey ...

Opening Plenary

Opening Plenary

The 2015 IEEE MIT Undergraduate Research Technology Conference (URTC) brought together undergraduates around the ...

Singapore Forum 2016 Plenary Session 1: New Model of Great Powers Relations: What it Means for Asia?

Singapore Forum 2016 Plenary Session 1: New Model of Great Powers Relations: What it Means for Asia?

Panellists: Dr Jeffrey Bader, Senior Fellow, Foreign Policy Studies, The Brookings Institution, and Former Senior Director for Asian ...

ICRC CORDEX 2016 - Plenary Session 1 Part 2

ICRC CORDEX 2016 - Plenary Session 1 Part 2

Presentations by Grigory Nikulin - CORDEX achiving: achievements, status and perspectives Linda Mearns - An Overview of ...