Speaker: Dr. Andrea Manno

Dates: July 12, 13, 19 and 20

Time: 16:00-18:00 

MS Teams code: 9kkf5ny 

Outline of the course (8 hours)

(4 hours) Introduction to nonlinear optimization

  • unconstrained optimization: optimality conditions, algorithms, con-
    vergence and regularization
  • hints on constrained optimization

(2 hours) Nonlinear optimization for Neural Networks training

  • a loss function minimization problem and the backpropagation
  • adapting general algorithms and regularization for neural networks
  • advanced strategies

(2 hours) The training of Support Vector Machines as a constrained optimization problem

  • linear SVMs for the linearly separable case
  • a mathematical formulation for non-linearly separable datasets
  • nonlinear SVMs
[COURSE] Nonlinear Optimization for Machine Learning Architectures