Difference between revisions of "ALT 2020"

From Openresearch
Jump to: navigation, search
 
(2 intermediate revisions by 2 users not shown)
Line 2: Line 2:
 
|Acronym=ALT 2020
 
|Acronym=ALT 2020
 
|Title=31st International Conference on Algorithmic Learning Theory
 
|Title=31st International Conference on Algorithmic Learning Theory
 +
|Ordinal=31
 
|Series=ALT
 
|Series=ALT
 
|Type=Conference
 
|Type=Conference
Line 14: Line 15:
 
|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
 +
|Submitted papers=128
 +
|Accepted papers=38
 
}}
 
}}
−
<!-- PLEASE ADAPT OR DELETE THIS PART COMPLETELY - You can just paste in the call for papers and remove this and the last line
+
== Topics ==
−
 
+
* Design and analysis of learning algorithms.
−
==Topics==
+
* Statistical and computational learning theory.
−
==Submissions==
+
* Online learning algorithms and theory.
−
==Important Dates==
+
* Optimization methods for learning.
−
 
+
* Unsupervised, semi-supervised and active learning.
−
==Committees==
+
* Interactive learning, planning and control, and reinforcement learning.
−
* Co-Organizers
+
* Connections of learning with other mathematical fields.
−
* General Co-Chairs
+
* Artificial neural networks, including deep learning.
−
** [[has general chair::some person]], some affiliation, country
+
* High-dimensional and non-parametric statistics.
−
 
+
* Learning with algebraic or combinatorial structure.
−
* PC Co-Chairs
+
* Bayesian methods in learning.
−
** [[has program chair::some person]], some affiliation, country
+
* Learning with system constraints: e.g. privacy, memory or communication budget.
−
 
+
* Learning from complex data: e.g., networks, time series.
−
* Workshop Chair
+
* Interactions with statistical physics.
−
** [[has workshop chair::some person]], some affiliation, country
+
* Learning in other settings: e.g. social, economic, and game-theoretic.
−
 
 
−
* Panel Chair
 
−
** [[has OC member::some person]], some affiliation, country
 
−
 
 
−
* Seminars Chair
 
−
** [[has tutorial chair::some person]], some affiliation, country
 
−
 
 
−
* Demonstration Co-Chairs
 
−
** [[has demo chair::some person]], some affiliation, country
 
−
** [[has demo chair::some person]], some affiliation, country
 
−
 
 
−
* Local Organizing Co-Chairs
 
−
** [[has local chair::some person]], some affiliation, country
 
−
 
 
−
* Program Committee Members
 
−
** [[has PC member::some person]], some affiliation, country
 
−
-->
 

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.
Retrieved from "https://www.openresearch.org/mediawiki/index.php?title=ALT_2020&oldid=230349"
Facts about "ALT 2020"
RDF feed
AcronymALT 2020 +
End dateFebruary 11, 2020 +
Event in seriesALT +
Event typeConference +
Has coordinates32° 43' 3", -117° 9' 46"Latitude: 32.717419444444
Longitude: -117.16277222222 +
Has location citySan Diego +
Has location countryCategory:USA +
Homepagehttp://alt2020.algorithmiclearningtheory.org/ +
IsAEvent +
Start dateFebruary 8, 2020 +
Submission deadlineSeptember 20, 2019 +
TitleThe 31st International Conference on Algorithmic Learning Theory +