You do not have permission to edit this page, for the following reason:
The action you have requested is limited to users in the group: Users.
Add another
==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.
Save page Show preview Cancel