Program for stream Multiobjective optimization

FE-02: MO 1 - Continuous multiobjective optimization
Stream: Multiobjective optimization
Room: Room 1.1
Chair(s): Birgit Rudloff

• Treating nonsmooth regularization problems via multiobjective optimization
  Bennet Gebken, Katharina Bieker, Sebastian Peitz
• A multiobjective model predictive control algorithm
  Lisa Krügel, Gabriele Eichfelder, Lars Grüne, Jonas Schießl
• A Quasi-Newton Approach for Large Scale Multi-Objective Optimization
  Pierluigi Mansueto, Matteo Lapucci
• Multivariate Dynamic Programming
  Birgit Rudloff, Zachary Feinstein, Gabriela Kovacova

FF-02: MO 2 - Convex multiobjective optimization
Stream: Multiobjective optimization
Room: Room 1.1
Chair(s): Firdevs Ulus

• A Benson algorithm for unbounded convex vector optimization problems
  Gabriela Kovacova, Andrea Wagner, Firdevs Ulus, Birgit Rudloff, Niklas Hey
• Convergence rate of Sandwiching methods for convex multi-objective optimization
  Ina Lammel, Karl-Heinz Küfer
• Direction-free primal and dual approximation algorithms for convex vector optimization problems
  Firdevs Ulus, Cagin Ararat, Simay Tekgül

SA-02: MO 3 - Mixed-integer multiobjective optimization
Stream: Multiobjective optimization
Room: Room 1.1
Chair(s): Gabriele Eichfelder

• Solving multi-objective mixed-integer convex optimization problems by hybrid patch decomposition
  Leo Warnow, Gabriele Eichfelder
• Multiobjective Optimization of Decentralized Energy Supply Networks
  Moritz Link, Stefan Volkwein
• Adaptive patch approximation algorithm for bicriteria mixed-integer problems
  Erik Diessel
• Using Dual Bounds for Multiobjective Mixed Integer Quadratic Programming
  Daniele Patria, Marianna De Santis, Gabriele Eichfelder, Leo Warnow

SB-02: MO 4 - Global multiobjective optimization
Stream: Multiobjective optimization
Room: Room 1.1
Chair(s): Gabriele Eichfelder

• Conditions for the existence of weakly efficient solutions to vector optimization problems
  César Gutiérrez, Ruben Lopez
• Numerical certification of Pareto optimality for biobjective nonlinear problems
  Frédéric MESSINE, Charles Audet, Jordan Ninin
• Conic reformulations for quadratic multiobjective optimization
  Gabriele Eichfelder, Patrick Groetzner

SD-02: MO 5 - Multiobjective optimization and machine learning
Stream: Multiobjective optimization
Room: Room 1.1
Chair(s): Julia Niebling, Gabriele Eichfelder

• A multiobjective view on creating counterfactual explanations for explaining uncertainty in machine learning
  Julia Niebling
• Deep Learning the Efficient Frontier of Convex Vector Optimization Problems
  Zachary Feinstein, Birgit Rudloff
• Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks
  Ross Clarke, Elre Oldewage, Jose Miguel Hernandez Lobato
• Training neural networks with l1 regularization via multiobjective continuation
  Katharina Bieker, Bennet Gebken, Sebastian Peitz