MLiTRW Conference - Criteo AI Lab
28th
June 2018
The 4th annual Machine Learning in the Real World workshop (MLiTRW) aims at bringing together people from industry and academia to better understand which machine learning algorithms are used in practice and what we can do to improve them.
This one day track workshop will feature presentations from a host of professors & researchers from leading universities and research institutions with open discussions and end the day with poster sessions.
Event highlight - 3rd annual Machine Learning in the Real World Workshop, Nov. 8th, 2017. - YouTube
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Event highlight - 3rd annual Machine Learning in the Real World Workshop, Nov. 8th, 2017.
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Meet Our Speakers
Date: June 28th, 2018 > 9:00AM-7:00PM
Location: Criteo Paris – Auditorium
Want to contribute?
We are inviting attendees to submit papers for short presentations or posters. Presentations will last between 5 to 10 minutes during the Spotlight session (from 14:45 pm -15:45 pm), and the poster sessions will take place during coffee breaks and networking time. To submit a paper, follow this link.
John Langford
Machine Learning Doctor
Alessandro Lazaric
Research Scientist
Claire Monteleoni
Professor
Randall Lewis
Director of economics
Gaël Varoquaux
Researcher
Flavian Vasile
Senior Staff Researcher
Agenda
Date: June 28th, 2018 > 9:00AM-8:00PM
Location: Criteo Paris – Auditorium
Presentations: To download the presentations, click on the speaker’s name in the below agenda
09:00 AM
Breakfast/registration
09:30 AM
Real World Reinforcement Learning by John Langford • Microsoft
11:00 AM
Coffee Break
11:30 AM
Improving Exploration in Reinforcement Learning: Recent Theoretical Insights by Alessandro Lazaric • Facebook
12:15 PM
Dan Teodosiu • CTO Criteo
Guest Keynote
12:30 PM
Lunch break
02:00 PM
Incrementality Bidding & Attribution by Randall Lewis • Netflix
2:45 PM
Causality in Recommendation by Flavian Vasile • Criteo AI Lab
3:15 PM
Coffee break
3:45 PM
Algorithms for Climate Informatics by Claire Monteleoni • Universite Paris-Saclay / CNRS / G. Washington U
4:30 PM
Simple representations for learning: factorizations and similarities by Gaël Varoquaux • Inria
5:15 PM
Spotlight session on contributions
6:00 PM
Cocktail (with posters sessions)
Event Location
Criteo Paris
32 rue Blanche
75009 Paris France
Reviews:
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