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Conference on optimisation and machine learning in economics

This event is now fully booked. To be placed on the waiting list, please email with "Waiting list request - Conference on optimization and machine learning in economics (8-9th March 2018)" as the subject line.


Optimization is coming back as a major developing research area in economics. There are at least two reasons for this. The first one is the emergence of online platforms, which act as central planners and need to solve complex optimization problems such as matching service providers with customers, introducing potential dating partners, performing dynamic pricing  tasks, etc.

The second reason is that econometric methods have been cross-fertilized by novel techniques from machine learning, that heavily rely on optimization tools. This conference is a chance for experts on optimization, machine learning, and economics to meet and discuss the current frontier of the scientific knowledge at these intersections. 

Please see below for a confirmed list of speakers. 

- Francis Bach (INRIA)

- Jose Blanchet (Stanford)

- Guillaume Carlier (Universite Paris IX Dauphine)

- Victor Chernozhukov (MIT)

- Tim Christensen (NYU)

- Patrick Combettes (NC State)

- Han Hong (Stanford)

- Roger Koenker (UIUC)

- Elena Manresa (NYU)

- Rahul Mazumder (MIT)

- Robert Miller (CMU)

- Lars Nesheim (UCL)

- Serena Ng (Columbia) 

- Ariel Pakes (Harvard)

- Tim Roughgarden (Stanford)

- Matt Shum (Caltech)

- Rakesh Vohra (Upenn)

- Jose Montiel Olea (Columbia)

- Martin Weidner (UCL)


This event is sponsored by cemmap and ERC (grant no. 646917-ROMIA).