Difference between revisions of "ALT 2019"

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|Has PC member=Naman Agarwal, Kareem Amin, Borja Balle, Achilles Beros, Gilles Blanchard, Sébastien Bubeck
 
|Has PC member=Naman Agarwal, Kareem Amin, Borja Balle, Achilles Beros, Gilles Blanchard, Sébastien Bubeck
 
|has Keynote speaker=Sanjeev Arora, Jennifer Wortman Vaughan
 
|has Keynote speaker=Sanjeev Arora, Jennifer Wortman Vaughan
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== Topics ==
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* Design and analysis of learning algorithms.
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==Topics==
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* Statistical and computational learning theory.
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==Submissions==
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* Online learning algorithms and theory.
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==Important Dates==
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* Optimization methods for learning.
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* Unsupervised, semi-supervised, online and active learning.
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==Committees==
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* Connections of learning with other mathematical fields.
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* Co-Organizers
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* Artificial neural networks, including deep learning.
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* General Co-Chairs
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* High-dimensional and non-parametric statistics.
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* Learning with algebraic or combinatorial structure.
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* Bayesian methods in learning.
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* PC Co-Chairs
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* Planning and control, including reinforcement learning.
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* Learning with system constraints: e.g. privacy, memory or communication budget.
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* Learning from complex data: e.g., networks, time series, etc.
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* Workshop Chair
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* Interactions with statistical physics.
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Latest revision as of 08:05, 17 April 2020

ALT 2019
30th International Conference on Algorithmic Learning Theory
Event in series ALT
Dates 2019/03/22 (iCal) - 2019/03/24
Homepage: http://alt2019.algorithmiclearningtheory.org/
Location
Location: Chicago, USA
Loading map...

Papers: Submitted 78 / Accepted 37 (47.4 %)
Committees
Organizers: Lev Reyzin, Gyorgy Turan
PC chairs: Satyen Kale, Aurélien Garivier
Workshop chairs: Steve Hanneke
PC members: Naman Agarwal, Kareem Amin, Borja Balle, Achilles Beros, Gilles Blanchard, Sébastien Bubeck
Keynote speaker: Sanjeev Arora, Jennifer Wortman Vaughan
Table of Contents

Contents


Topics

  • Design and analysis of learning algorithms.
  • Statistical and computational learning theory.
  • Online learning algorithms and theory.
  • Optimization methods for learning.
  • Unsupervised, semi-supervised, online and active learning.
  • Connections of learning with other mathematical fields.
  • Artificial neural networks, including deep learning.
  • High-dimensional and non-parametric statistics.
  • Learning with algebraic or combinatorial structure.
  • Bayesian methods in learning.
  • Planning and control, including reinforcement learning.
  • Learning with system constraints: e.g. privacy, memory or communication budget.
  • Learning from complex data: e.g., networks, time series, etc.
  • Interactions with statistical physics.
  • Learning in other settings: e.g. social, economic, and game-theoretic.
Retrieved from "https://www.openresearch.org/mediawiki/index.php?title=ALT_2019&oldid=221321"
Facts about "ALT 2019"
RDF feed
Acceptance rate47.4 +
Accepted papers37 +
AcronymALT 2019 +
End dateMarch 24, 2019 +
Event in seriesALT +
Event typeConference +
Has Keynote speakerSanjeev Arora + and Jennifer Wortman Vaughan +
Has PC memberNaman Agarwal +, Kareem Amin +, Borja Balle +, Achilles Beros +, Gilles Blanchard + and Sébastien Bubeck +
Has coordinates41° 52' 32", -87° 37' 28"Latitude: 41.875561111111
Longitude: -87.624422222222 +
Has coordinatorLev Reyzin + and Gyorgy Turan +
Has location cityChicago +
Has location countryCategory:USA +
Has program chairSatyen Kale + and Aurélien Garivier +
Has workshop chairSteve Hanneke +
Homepagehttp://alt2019.algorithmiclearningtheory.org/ +
IsAEvent +
Start dateMarch 22, 2019 +
Submitted papers78 +
Title30th International Conference on Algorithmic Learning Theory +