Difference between revisions of "ALT 2020"

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|Acronym=ALT 2020
 
|Acronym=ALT 2020
 
|Title=31st International Conference on Algorithmic Learning Theory
 
|Title=31st International Conference on Algorithmic Learning Theory
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|Ordinal=31
 
|Series=ALT
 
|Series=ALT
 
|Type=Conference
 
|Type=Conference
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|has program chair=Aryeh Kontorovich, Gergely Neu
 
|has program chair=Aryeh Kontorovich, Gergely Neu
 
|Has PC member=Yasin Abbasi-Yadkori, Pierre Alquier, Shai Ben-David, Nicolò Cesa-Bianchi, Andrew Cotter, Ilias Diakonikolas
 
|Has PC member=Yasin Abbasi-Yadkori, Pierre Alquier, Shai Ben-David, Nicolò Cesa-Bianchi, Andrew Cotter, Ilias Diakonikolas
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|Submitted papers=128
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|Accepted papers=38
 
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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 and active learning.
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==Committees==
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* Interactive learning, planning and control, and reinforcement learning.
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* Co-Organizers
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* Connections of learning with other mathematical fields.
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* General Co-Chairs
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* Artificial neural networks, including deep learning.
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* High-dimensional and non-parametric statistics.
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* Learning with algebraic or combinatorial structure.
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* PC Co-Chairs
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* Bayesian methods in 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.
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* Workshop Chair
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* Interactions with statistical physics.
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Latest revision as of 14:01, 4 March 2021

ALT 2020
31st International Conference on Algorithmic Learning Theory
Ordinal 31
Event in series ALT
Dates 2020/02/08 (iCal) - 2020/02/11
Homepage: http://alt2020.algorithmiclearningtheory.org/
Location
Location: San Diego, USA
Loading map...

Important dates
Papers: 2019/09/20
Submissions: 2019/09/20
Notification: 2019/11/24
Papers: Submitted 128 / Accepted 38 (29.7 %)
Committees
PC chairs: Aryeh Kontorovich, Gergely Neu
PC members: Yasin Abbasi-Yadkori, Pierre Alquier, Shai Ben-David, Nicolò Cesa-Bianchi, Andrew Cotter, Ilias Diakonikolas
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 and active learning.
  • Interactive learning, planning and control, and reinforcement 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.
  • Learning with system constraints: e.g. privacy, memory or communication budget.
  • Learning from complex data: e.g., networks, time series.
  • Interactions with statistical physics.
  • Learning in other settings: e.g. social, economic, and game-theoretic.
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Facts about "ALT 2020"
RDF feed
Acceptance rate29.7 +
Accepted papers38 +
AcronymALT 2020 +
End dateFebruary 11, 2020 +
Event in seriesALT +
Event typeConference +
Has PC memberYasin Abbasi-Yadkori +, Pierre Alquier +, Shai Ben-David +, Nicolò Cesa-Bianchi +, Andrew Cotter + and Ilias Diakonikolas +
Has coordinates32° 43' 3", -117° 9' 46"Latitude: 32.717419444444
Longitude: -117.16277222222 +
Has location citySan Diego +
Has location countryCategory:USA +
Has program chairAryeh Kontorovich + and Gergely Neu +
Homepagehttp://alt2020.algorithmiclearningtheory.org/ +
IsAEvent +
NotificationNovember 24, 2019 +
Ordinal31 +
Paper deadlineSeptember 20, 2019 +
Start dateFebruary 8, 2020 +
Submission deadlineSeptember 20, 2019 +
Submitted papers128 +
Title31st International Conference on Algorithmic Learning Theory +