AISTATS 2021

Virtual Only Conference
The 24th International Conference on Artificial Intelligence and Statistics
Tue Apr 13th through Thu the 15th

Tue Invited Talk (Emmanuel Candes), Orals, WiML and Women in Statistics, Posters, Mentorship Sessions
Wed Invited Talk (Bin Yu), Orals, Black in AI, Posters, Mentorship Sessions
Thu Invited Talk (Kyle Cranmer), Orals,  Posters, Mentorship Sessions
 

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Announcements

Best Paper Award:

Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent

Fred Kunstner, Raunak Kumar, Mark Schmidt 

Best Student Paper Award:

Matérn Gaussian Processes on Graphs

Slava Borovitskiy, Iskander Azangulov, Alexander Terenin, Peter Mostowsky, Marc Deisenroth, Nicolas Durrande

AISTATS would like to thank it's Area Chairs and Reviewers for their important contribution to this meeting. 

 

Sponsors

View AISTATS 2021 sponsors »Become a 2021 Sponsor »(not currently taking applications)

Committees

Program Chair
Arindam Banerjee (University of Illinois Urbana-Champaign)
Kenji Fukumizu (Institute of Statistical Mathematics / Preferred Networks / RIKEN AIP)
Mentorship Chair
Emti Khan (Riken)
Virtual Conference Chair
Gautam Dasarathy (Arizona State University)
Workflow Chair
Wittawat Jitkrittum (Google Research)
Yoh-ichi Mototake (Institute of Statistical Mathematics)
Publication Chair
Krikamol Muandet (Max Planck Institute for Intelligent Systems)
Publicity Chair
Robert Giaquinto (University of Minnesota)
D&I Chairs
Sanmi Koyejo (University of Illinois at Urbana-Champaign & Google Research)
Sinead Williamson (University of Texas at Austin)
Sponsorship Chair
Fei Sha (Google Research)

Board

Arindam Banerjee (President)

Silvia Chiappa (Secretary)

Daryl Pregibon (Treasurer)

Kenji Fukumizu

Neil D. Lawrence

Marina Meila

Bernhard Scholkopf

Important Dates

Conference Sessions Tue Apr 13th through Thu the 15th
Last chance for a refund on registration fees Apr 11 '21 11:00 PM UTC *
All dates »

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About Artificial Intelligence and Statistics (AISTATS)

Since its inception in 1985, AISTATS has been an interdisciplinary gathering of researchers at the intersection of artificial intelligence, machine learning, statistics, and related areas.