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.

6
Speakers
9
Spotlight/poster sessions
150
Attendees

28th

June 2018

Meet Our Speakers

Date: June 28th, 2018 > 9:00AM-7:00PM
Location: Criteo Paris – Auditorium

 

John Langford

Machine Learning Doctor

Alessandro Lazaric

Research Scientist

Claire Monteleoni

Randall Lewis

Director of economics

Gaël Varoquaux

Researcher

Flavian Vasile

Senior Staff Researcher

28th

June 2018

Agenda

Date: June 28th, 2018 > 9:00AM-8:00PM
Location: Criteo Paris – Auditorium

 

09:00 AM
09:30 AM

Breakfast/registration

09:30 AM
11:00 AM

Real World Reinforcement Learning by John Langford • Microsoft

11:00 AM
11:30 AM

Coffee Break

11:30 AM
12:15 PM

Improving Exploration in Reinforcement Learning: Recent Theoretical Insights by Alessandro Lazaric • Facebook

12:15 PM
12:30 PM

Dan Teodosiu • CTO Criteo
Guest Keynote

12:30 PM
2:00 PM

Lunch break

02:00 PM
2:45 PM

Incrementality Bidding & Attribution by Randall Lewis • Netflix

2:45 PM
3:15 PM

Causality in Recommendation by Flavian Vasile • Criteo Research

3:15 PM
3:45 PM

Coffee break

3:45 PM
4:30 PM

Algorithms for Climate Informatics by Claire Monteleoni • Universite Paris-Saclay / CNRS / G. Washington U

4:30 PM
5:15 PM

Simple representations for learning: factorizations and similarities by Gaël Varoquaux • Inria

5:15 PM
6:00 PM

Spotlight session on contributions

6:00 PM
8:00 PM

Event Location

Criteo Paris
32 rue Blanche
75009 Paris France

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