2013.baylearn.org

BayLearn: Bay Area Machine Learning Symposium 2013

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract Submission deadline: July 19, 2013. Acceptance Notification: August 10, 2013.

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BayLearn: Bay Area Machine Learning Symposium 2013 | 2013.baylearn.org Reviews

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The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract Submission deadline: July 19, 2013. Acceptance Notification: August 10, 2013.

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1 overview

2 venue

3 schedule

4 keynotes

5 submissions

6 registration

7 previous

8 sitemap

9 important dates

10 organizing committee

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BayLearn: Bay Area Machine Learning Symposium 2013 | 2013.baylearn.org Reviews

https://2013.baylearn.org

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract Submission deadline: July 19, 2013. Acceptance Notification: August 10, 2013.

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2013.baylearn.org

1

Submissions - BayLearn: Bay Area Machine Learning Symposium 2013

http://2013.baylearn.org/submissions

We encourage the submission of poster abstracts. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings All accepted abstracts will be presented as posters, a few will be selected for a 10-minute oral presentation. We do not intend to publish proceedin. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! 2-page pdf document including figures and citations in the NIPS format.

2

Schedule - BayLearn: Bay Area Machine Learning Symposium 2013

http://2013.baylearn.org/schedule

The event starts at 9:30am and ends at 6pm on Wednesday,. August 28th, 2013. Registration opens at 9:00am. 3 invited talks by Michael Jordan, Trevor Hastie and Yoram Singer;. 6 short talks and a poster session;. And, most importantly, break/lunch time for discussion. Welcome to BayLearn 2013! On the Computational and Statistical Interface and "Big Data". Xinghao Pan, Berkeley;. Optimistic Concurrency Control for Distributed Unsupervised Learning. Ameet Talwalkar, Berkeley. Manfred Warmuth, UC Santa Cruz;.

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BayLearn: Bay Area Machine Learning Symposium 2013

http://2013.baylearn.org/overview

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract Submission deadline: July 19, 2013. Acceptance Notification: August 10, 2013.

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Sitemap - BayLearn: Bay Area Machine Learning Symposium 2013

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Sponsors - BayLearn: Bay Area Machine Learning Symposium

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Call For Abstracts 2015.

2014.baylearn.org

Sitemap - Bay Area Machine Learning Symposium 2014

http://2014.baylearn.org/system/app/pages/sitemap/hierarchy

2014.baylearn.org

Submissions - Bay Area Machine Learning Symposium 2014

http://2014.baylearn.org/submissions

Submissions are welcome at https:/ cmt.research.microsoft.com/BL2014/. Please submit a 2-page abstract in NIPS format. Submission deadline of September 14, 2014.

2014.baylearn.org

Keynotes - Bay Area Machine Learning Symposium 2014

http://2014.baylearn.org/keynotes

Google and University of Toronto. Abstract: A simple way to improve classification performance is to average the. Predictions of a large ensemble of different classifiers. This is. Great for winning competitions but requires too much computation at. Test time for practical applications such as speech recognition. In a. Widely ignored paper in 2006, Caruana and his collaborators showed. That the knowledge in the ensemble could be transferred to a single,. Also show how this technique can be used to improv...

2014.baylearn.org

Bay Area Machine Learning Symposium 2014

http://2014.baylearn.org/overview

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Thanks all - it was a great one! Abstract submission deadline: September 14, 2014.

baylearn.org

Submissions - BayLearn: Bay Area Machine Learning Symposium

http://www.baylearn.org/submissions

Call For Abstracts 2015. An abstract as a 2-page pdf in the NIPS format by August 23rd, 2016. Acceptable material includes work which has already been submitted or published, preliminary results and controversial findings. We do not intend to publish paper proceedings, but would like to share abstracts online. See examples of contributions in last year program.

baylearn.org

Venue - BayLearn: Bay Area Machine Learning Symposium

http://www.baylearn.org/venue

Call For Abstracts 2015. The event will be hosted by LinkedIn at 580 N Mary Ave,. Sunnyvale, CA 94085. 580 N Mary Ave. 580 N Mary Ave. Breakfast and lunch will be served in the LinkedIn café. The main event will be followed by a cocktail hour and poster session. LinkedIn will provide shuttle service from San Francisco as well as the. Sunnyvale Caltrain station (more details to follow).

baylearn.org

. - BayLearn: Bay Area Machine Learning Symposium

http://www.baylearn.org/overview/call-for-abstracts

Call For Abstracts 2015. Bay Area Machine Learning Symposium. Meet the Bay Area Machine Learning Scientists on October 21, 2014. Feel free to circulate this invitation to your colleagues and relevant contacts. Call for Abstract and Invitation *. Http:/ www.baylearn.org/schedule. September 3rd, 2014 - Abstract submission deadline. October 3rd, 2014 - Author notification. October 9th, 2014 - Registration Deadline. October 21st, 2014 - Symposium. The event will be hosted at the. The event is free! Registrat...

baylearn.org

Previous - BayLearn: Bay Area Machine Learning Symposium

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Call For Abstracts 2015.

baylearn.org

Keynotes - BayLearn: Bay Area Machine Learning Symposium

http://www.baylearn.org/keynotes

Call For Abstracts 2015. 4 invited talks by. Pieter Abbeel (UC Berkeley),. Leon Bottou (Facebook),. Adam Coates (Baidu), and Ilya Sutskever (OpenAI).

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BayLearn: Bay Area Machine Learning Symposium 2013

The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract Submission deadline: July 19, 2013. Acceptance Notification: August 10, 2013.

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