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@BayLearnOrg

San Francisco Bay Area Machine Learning Symposium

baylearn reposted

BayLearn is next Thu (Oct 20th)! This is the 10th anniversary of the symposium. We just made more seats available and extended the registration to Fri Oct 14th. Register before they are gone: baylearn2022.splashthat.com #ml #ai #research


Poster presentations videos are now available: youtube.com/playlist?list=…


It's a wrap, folks! Thank you very much for joining the symposium! Thanks to all our organizers, keynote speakers, poster authors, and reviewers for another great edition of BayLearn! Hope to see you in person next year.


Keynote from Dr. Eric Horvitz starting now...


baylearn reposted

Video and slides from my @BayLearnOrg keynote: PyG.org, GNNAutoScale and some exciting applications. Slides: i.stanford.edu/~jure/pub/talk… Video: drive.google.com/file/d/1pc1osd…

jure's tweet image. Video and slides from my @BayLearnOrg keynote: PyG.org, GNNAutoScale and some exciting applications.
Slides: i.stanford.edu/~jure/pub/talk…
Video: drive.google.com/file/d/1pc1osd…

Sorry for the technical difficulties during the Keynote from @jure The talk slides are also available at i.stanford.edu/~jure/pub/talk…


See you all tomorrow! The virtual symposium begins at 9:00 a.m. PDT. (Registered attendees: see details in the "Welcome to BayLearn 2021" email)


BayLearn 2021 is next week - Thu, Oct 28th! We have outstanding speakers: @jure, @erichorvitz, @svlevine, and Anima Anandkumar along with several interesting posters. Please register at: baylearn2021.splashthat.com

BayLearnOrg's tweet image. BayLearn 2021 is next week - Thu, Oct 28th! We have outstanding speakers: @jure, @erichorvitz, @svlevine, and Anima Anandkumar along with several interesting posters.
Please register at: 
baylearn2021.splashthat.com

BayLearn 2021 is now open for abstract submissions. If you are working on cutting-edge machine learning research, please consider submitting an abstract before the June 25th deadline: baylearn.org The BayLearn 2021 Symposium will be held on October 28, 2021. #baylearn

BayLearnOrg's tweet image. BayLearn 2021 is now open for abstract submissions. If you are working on cutting-edge machine learning research, please consider submitting an abstract before the June 25th deadline: baylearn.org
The BayLearn 2021 Symposium will be held on October 28, 2021. #baylearn

We are pleased to announce that videos of the talks from BayLearn 2020 are now online. Enjoy! youtube.com/channel/UCnf60… baylearn.org/schedule #BayLearn #BayLearn2020

BayLearnOrg's tweet image. We are pleased to announce that videos of the talks from BayLearn 2020 are now online. Enjoy! 

youtube.com/channel/UCnf60…

baylearn.org/schedule

#BayLearn #BayLearn2020

#BayLearn2020 has concluded. Thank you very much to all our keynote speakers, presenters, authors, reviewers, and last but not the least - all the participants for making this a successful and rewarding event!


baylearn reposted

We're presenting our paper /Deep Ensembles: A Loss Landscape Perspective/ (arxiv.org/abs/1912.02757) w/ @balajiln & Huiyi Hu at @BayLearnOrg #BayLearn2020 today 3 pm PST. Visit our poster to learn about connections between high-D geometry, ensembles & variational Bayesian methods

stanislavfort's tweet image. We're presenting our paper /Deep Ensembles: A Loss Landscape Perspective/ (arxiv.org/abs/1912.02757) w/ @balajiln & Huiyi Hu at @BayLearnOrg #BayLearn2020 today 3 pm PST. Visit our poster to learn about connections between high-D geometry, ensembles & variational Bayesian methods

Q&A for @Susan_Athey's keynote started


Next up at #BayLearn2020 - a keynote by @chelseabfinn on "Meta-Learning for Robustness to the Changing World"


Next up at 10:30 am PDT: a talk by @cendrinou on "Learning from Data in Single-Cell Transcriptomics" #BayLearn2020


Starting @timnitGebru's talk on "The hierarchy of knowledge in machine learning and related fields and its consequences"


We are beginning in 5 minutes! #BayLearn2020


Those who registered for #BayLearn2020 should have received an email containing Zoom links and other details about the symposium. See you all tomorrow!


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