mlsanityData to 14 Oct 2026

Revisiting Norm Optimization for Multi-Objective Black-Box Problems: A Finite-Time Analysis

arXiv 1804.11020 ↗First posted 30 Apr 2018math.OCcited by 2

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Abstract (arXiv)

The complexity of Pareto fronts imposes a great challenge on the convergence analysis of multi-objective optimization methods. While most theoretical convergence studies have addressed finite-set and/or discrete problems, others have provided probabilistic guarantees, assumed a total order on the solutions, or studied their asymptotic behaviour. In this paper, we revisit the Tchebycheff weighted method in a hierarchical bandits setting and provide a finite-time bound on the Pareto-compliant additive ε-indicator. To the best of our knowledge, this paper is one of few that establish a link between weighted sum methods and quality indicators in finite time.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Apr 2018.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 1.

2 papers.