Multi-objective optimization algorithms typically aim to find finite solutions as an approximation of the Pareto set, which may fail to capture the entire structure of the Pareto set when the number of variables is large.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• multi-objective optimization concept