Program for stream Optimization in regression, classification and learning

WC-04: Optimization in regression, classification and learning I
Stream: Optimization in regression, classification and learning
Room: M:M
Chair(s): Paula Amaral

• Machine learning outcome prediction model-based radiotherapy treatment plan optimization using the open-source toolkit pyanno4rt
  Tim Ortkamp, Martin Frank, Oliver Jäkel, Niklas Wahl
• Use of Machine Learning techniques in predicting the course of relapsing-remitting MS in individual patients
  Raffaele Mariosa, Laura Palagi
• White box models in classification
  Paula Amaral, Rui Malha, Tiago Dias

TB-04: Optimization in regression, classification and learning II
Stream: Optimization in regression, classification and learning
Room: M:M
Chair(s): Paula Amaral

• Memetic Differential Evolution Methods for Semi-Supervised Clustering
  Pierluigi Mansueto, Fabio Schoen
• Solving Kernel Ridge Regression with Gradient Descent for a Non-Constant Kernel
  Oskar Allerbo
• Matrix-wise L0-constrained Sparse Nonnegative Least Squares
  Nicolas Nadisic, Arnaud Vandaele, Jeremy Cohen, Nicolas Gillis

FC-07: Optimization mosaics
Stream: Optimization in regression, classification and learning
Room: M:I
Chair(s): Paula Amaral, Sebastian Lämmel

• Relaxations for the elementary shortest path problem
  Regina Schmidt, Mirjam Duer
• Extended convergence analysis of the Scholtes-type regularization for cardinality-constrained optimization problems
  Sebastian Lämmel, Vladimir Shikhman