会议简介

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. 

征稿信息

重要日期

初稿截稿日期:2018-02-16

初稿录用通知日期:2018-05-02

征稿主题

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 

用户留言

发表留言

重要日期

  • 会议日期

    07月05日

    2018

    07月09日

    2018

  • 02月16日

    2018

    初稿截稿日期

  • 05月02日

    2018

    初稿录用通知日期

联系我们

  • colt2018pc@gmail.com