ALT 2019

ALT 2019
30th International Conference on Algorithmic Learning Theory
Event in series	ALT
Dates	2019/03/22 (iCal) - 2019/03/24
Homepage:	http://alt2019.algorithmiclearningtheory.org/
Location
Location:	Chicago, USA
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Papers:	Submitted 78 / Accepted 37 (47.4 %)
Committees
Organizers:	Lev Reyzin, Gyorgy Turan
PC chairs:	Satyen Kale, Aurélien Garivier
Workshop chairs:	Steve Hanneke
PC members:	Naman Agarwal, Kareem Amin, Borja Balle, Achilles Beros, Gilles Blanchard, Sébastien Bubeck
Keynote speaker:	Sanjeev Arora, Jennifer Wortman Vaughan
Table of Contents

Topics

• Design and analysis of learning algorithms.
• Statistical and computational learning theory.
• Online learning algorithms and theory.
• Optimization methods for learning.
• Unsupervised, semi-supervised, online and active 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.
• 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.
• Interactions with statistical physics.
• Learning in other settings: e.g. social, economic, and game-theoretic.