Machine Learning
Optimized Systems Fall '20
Soon, Machines Will Do The Programming
The MLOS Seminar is organized by the following people
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University of Wisconsin-Madison: Remzi Arpaci-Dusseau
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Microsoft Gray Systems Lab: Carlo Curino, Andreas Mueller, Neha Godwal, Brian Kroth
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Microsoft Research: Umar Farooq Minhas
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Microsoft Azure Data: Markus Weimer, Adam Smiechowski, Greg Lapinski, Ed Thayer, Sergiy Kuryata
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Seminar sponsorship includes
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University of Wisconsin-Madison: Remzi Arpaci-Dusseau
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Microsoft Azure Data: Raghu Ramakrishnan, Slava Oks
Technical support provided by
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RTE Media: ​Henry Honig, William Batts
The Speakers
FEATURED EXPERTS
09/28
Talk
Intel
Carnegie Mellon University
"Keeping Human Concerns in the Loop: Human-centered Approaches to Responsible AI"
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Talk details: Here.
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10/05
Talk
11/23
Talk
Cornell
Carnegie Mellon University
11/30
Talk
12/07
Talk
MIT
Agenda
Fall '20
This seminar explores the utility of machine learning in optimizing systems. We will host speakers from around the country who are expert in different aspects of this new problem space, and thus learn about the latest technologies and approaches.
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The seminar is being run jointly by the University of Wisconsin-Madison and Microsoft, but is open to all.
09/21
09/28
10/05
10/12
10/19
10/26
11/02
11/09
11/16
11/23
11/30
12/07
Sharon Li (Wisconsin)
Justin Gottschlich (Intel)
Open
Shiv Venkataraman (Wisconsin)
Arun Kumar (UCSD)
Tim Kraska (MIT)
Theo Benson (Brown)
Chris Ré (Stanford)
Johannes Gehrke (Microsoft)
Christina Delimitrou (Cornell)
Andy Pavlo (CMU)
Mohammad Alizadeh (MIT)
The Venue
The venue is the beautiful Microsoft Teams link above. Welcome to our new virtual world! And many thanks to Microsoft for providing support for the event.
many
10
1000
DAYS
SPEAKERS
PARTICIPANTS
Our Sponsors
