Difference between revisions of "COLT 2018"

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(Created page with "{{Event |Acronym=COLT 2018 |Title=31st Annual Conference on Learning Theory |Series=COLT |Type=Conference |Field=Theoretical Aspects of Machine Learning and Related Topics |St...")
 
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|has program chair=Sebastien Bubeck, Philippe Rigollet
 
|has program chair=Sebastien Bubeck, Philippe Rigollet
 
|has Keynote speaker=Stephane Mallat, Susan Murphy, Johan Hastad
 
|has Keynote speaker=Stephane Mallat, Susan Murphy, Johan Hastad
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|Accepted short papers=91
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|has Proceedings Link=http://proceedings.mlr.press/v75/
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|has Recording Link=https://www.youtube.com/playlist?list=PLCHBdlWR7RYzMjoGTatLItEhisi5sBNFh
 
}}
 
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The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics
 
The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics
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*Conference: July 6-9, 2018 (welcome reception on the 5th)
 
*Conference: July 6-9, 2018 (welcome reception on the 5th)
 
==Committees==
 
==Committees==
* Co-Organizers
+
* Program committee
* General Co-Chairs
+
Jacob Abernethy (Georgia Tech)
 
+
Shivani Agarwal (University of Pennsylvania)
 
+
Shipra Agrawal (Columbia University)
* PC Co-Chairs
+
Alexandr Andoni (Columbia University)
** [[has program chair::some person]], some affiliation, country
+
Pranjal Awasthi (Rutgers University)
 
+
Francis Bach (INRIA)
* Workshop Chair
+
*Program chairs
** [[has workshop chair::some person]], some affiliation, country
+
Sebastien Bubeck (Microsoft Research)
 
+
Philippe Rigollet (MIT)
* Panel Chair
+
*Publication chair
** [[has OC member::some person]], some affiliation, country
+
Vianney Perchet (ENS Paris-Saclay)
 
+
*Sponsorship Chairs
* Seminars Chair
+
Satyen Kale (Google)
** [[has tutorial chair::some person]], some affiliation, country
+
Robert Schapire (Microsoft Research)
 
+
*Local Arrangements chair
* Demonstration Co-Chairs
+
Alexandre Proutiere (KTH)
** [[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
 

Revision as of 15:26, 21 May 2019

COLT 2018
31st Annual Conference on Learning Theory
Event in series COLT
Dates 2018/07/06 (iCal) - 2018/07/09
Homepage: https://www.learningtheory.org/colt2018/
Submitting link: https://easychair.org/conferences/?conf=colt2018
Location
Location: Stockholm, Schweden
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Important dates
Submissions: 2018/02/16
Notification: 2018/05/02
Accepted short papers: 91
Committees
PC chairs: Sebastien Bubeck, Philippe Rigollet
Keynote speaker: Stephane Mallat, Susan Murphy, Johan Hastad
Table of Contents


The 31st Annual Conference on Learning Theory (COLT 2018) will take place in Stockholm, Sweden, on July 5-9, 2018 (with a welcome reception on the 4th), immediately before ICML 2018, which takes place in the same city. We invite submissions of papers addressing theoretical aspects of machine learning and related topics

Topics

  • Design and analysis of learning algorithms
  • Statistical and computational complexity of learning
  • Optimization methods for learning
  • Unsupervised, semi-supervised, online and active learning
  • Interactions with other mathematical fields
  • Interactions with statistical physics
  • Artificial neural networks, including deep learning
  • High-dimensional and non-parametric statistics
  • Learning with algebraic or combinatorial structure
  • Geometric and topological data analysis
  • 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.
  • Learning in other settings: e.g. social, economic, and game-theoretic

Submissions

Important Dates

  • Paper submission deadline: February 16, 2018, 11:00 PM EST
  • Author feedback: April 9-15, 2018
  • Author notification: May 2, 2018
  • Conference: July 6-9, 2018 (welcome reception on the 5th)

Committees

  • Program committee

Jacob Abernethy (Georgia Tech) Shivani Agarwal (University of Pennsylvania) Shipra Agrawal (Columbia University) Alexandr Andoni (Columbia University) Pranjal Awasthi (Rutgers University) Francis Bach (INRIA)

  • Program chairs

Sebastien Bubeck (Microsoft Research) Philippe Rigollet (MIT)

  • Publication chair

Vianney Perchet (ENS Paris-Saclay)

  • Sponsorship Chairs

Satyen Kale (Google) Robert Schapire (Microsoft Research)

  • Local Arrangements chair

Alexandre Proutiere (KTH)