Difference between revisions of "COLT 2018"

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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
|Submitted papers=335
|Accepted short papers=91
|Accepted short papers=91
|has Proceedings Link=http://proceedings.mlr.press/v75/
|has Proceedings Link=http://proceedings.mlr.press/v75/

Revision as of 14:30, 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: Stockholm, Schweden
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Important dates
Submissions: 2018/02/16
Notification: 2018/05/02
Accepted short papers: 91
Papers: Submitted 335 / Accepted {{{Accepted papers}}}
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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


  • 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


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)


  • 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)