Design of Electromechanical Robotic Systems
Stochastic Subgradient Approach for Solving Linear Support Vector Machines
Classification with Deep Invariant Scattering Networks
PAC-Bayes Theory in Supervised Learning
The Unreasonable Effectivness Of Deep Learning
Machine Learning in Computational Biology (the frequentist approach)
A tutorial on Deep Learning
Learning Representations: A Challenge for Learning Theory
Learning using Many Examples
Deep Reinforcement Learning