ALT 2020

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ALT 2020
31st International Conference on Algorithmic Learning Theory
Event in series ALT
Dates 2020/02/08 (iCal) - 2020/02/11
Homepage: http://alt2020.algorithmiclearningtheory.org/
Location
Location: San Diego, USA
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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


Event


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.