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Annual Machine Learning in The Real World

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Location

Criteo HQ

32 Rue Blanche

75009 Paris

France

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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.

Schedule

09:00: am - 09:30 am: Welcome Coffee

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: Alessandro Lazaric • Facebook

12:15 pm - 12:30 pm: Dan Teodosiu • C.T.O. Criteo, Guest Keynote Speaker

12:30 pm - 02:00 pm: Lunch break

02:00 pm - 02:45 pm: Incrementality Bidding & Attribution by Randall Lewis • Netflix

02:45 pm - 03:15pm: Causality in Recommendation by Flavian Vasile • Criteo Research

03:15 pm - 03:45 pm: Coffee break

03:45 pm - 04:30 pm: Algorithms for Climate Informatics: Learning from spatiotemporal data with both spatial and temporal non-stationarity by Claire Monteleoni Univ. Paris-Saclay / CNRS / G. Washington U

04:30 pm - 05:15 pm: Gaël Varoquaux • Inria

05:15pm - 05:45 pm: Spotlight session on contributions

05:45pm - 08:00 pm: Cocktail (with posters sessions)

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Location

Criteo HQ

32 Rue Blanche

75009 Paris

France

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