Description

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. 

Call for paper

Important Dates

Draft paper submission deadline:2018-02-16

Draft paper acceptance notification:2018-05-02

Topics of submission

We strongly support a broad definition of learning theory, including, but not limited to:

  • Design and analysis of learning algorithms

  • Statistical and computational complexity of learning

  • Optimization methods for learning

  • Unsupervised, semisupervised, online and active learning

  • Interactions with other mathematical fields

  • Interactions with statistical physics

  • Artificial neural networks, including deep learning

  • Highdimensional and nonparametric 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 gametheoretic 

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Contact information

  • colt2018pc@gmail.com