This talk discusses three aspects of deep learning from a
statistical perspective: interpolation, optimality and sparsity.
The first one attempts to interpret the double descent phenomenon
by precisely characterizing a U-shaped curve within the...
Linear dynamical systems are a continuous subclass of
reinforcement learning models that are widely used in robotics,
finance, engineering, and meteorology. Classical control, since the
works of Kalman, has focused on dynamics with Gaussian i.i.d...
