Program for stream Optimization for machine learning

WE-01: OML 1 - Optimization in regression models
Stream: Optimization for machine learning
Room: C V
Chair(s): Paula Amaral

• Binary Kernel Logistic Regression: sparsity and a SMO-type decomposition algorithm
  Antonio Consolo, Andrea Manno, Edoardo Amaldi
• Design of Poisoning Attacks on Linear Regression Using Bilevel Optimization
  Zeynep Suvak, Miguel Anjos, Luce Brotcorne, Diego Cattaruzza
• Xpress SLP + Xpress MIP = Xpress Global
  Imre Polik

WF-04: OML 2 - Optimization in classification and learning
Stream: Optimization for machine learning
Room: 105
Chair(s): Paula Amaral

• A classification method based on a cloud of spheres
  Tiago Dias, Paula Amaral
• Approximating Decision Trees with Neural Networks
  Giorgio Grani
• Solving large-scale non-convex optimization problems with Objective Function-Free and Block Decomposition Controlled Minibatch Algorithms
  Corrado Coppola, Laura Palagi, Giampaolo Liuzzi
• Spherical SVM-type method for interval valued data
  Rui Malha, Paula Amaral