3 papers
cs.LG2026
Interactive Pareto navigation for deep multi-task learning
Augustina C. Amakor, Konstantin Sonntag, Sebastian Peitz
In multi-task learning, handling an increasing number of objectives can quickly become challenging, both in terms of the computational resources and the decision maker's capacity t…
math.OC2024
Inertial dynamics with vanishing Tikhonov regularization for multiobjective optimization
Radu Ioan Bot, Konstantin Sonntag
In this paper, we introduce, in a Hilbert space setting, a second order dynamical system with asymptotically vanishing damping and vanishing Tikhonov regularization that approaches…
cs.LG2024
Common pitfalls to avoid while using multiobjective optimization in machine learning
Junaid Akhter, Paul David Fährmann, Konstantin Sonntag +2
Recently, there has been an increasing interest in the application of multiobjective optimization (MOO) in machine learning (ML). This interest is driven by the numerous real-life…