TARGETED HYPERPARAMETER OPTIMIZATION WITH LEXICOGRAPHIC PREFERENCES OVER MULTIPLE OBJECTIVES

Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu

Research output: Contribution to conferencePaperpeer-review

12 Scopus citations

Abstract

Motivated by various practical applications, we propose a novel and general formulation of targeted multi-objective hyperparameter optimization. Our formulation allows a clear specification of an automatable optimization goal using lexicographic preference over multiple objectives. We then propose a randomized directed search method named LexiFlow to solve this problem. We demonstrate the strong empirical performance of the proposed algorithm in multiple hyperparameter optimization tasks.

Original languageEnglish (US)
StatePublished - 2023
Event11th International Conference on Learning Representations, ICLR 2023 - Kigali, Rwanda
Duration: May 1 2023May 5 2023

Conference

Conference11th International Conference on Learning Representations, ICLR 2023
Country/TerritoryRwanda
CityKigali
Period5/1/235/5/23

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Computer Science Applications
  • Education
  • Linguistics and Language

Fingerprint

Dive into the research topics of 'TARGETED HYPERPARAMETER OPTIMIZATION WITH LEXICOGRAPHIC PREFERENCES OVER MULTIPLE OBJECTIVES'. Together they form a unique fingerprint.

Cite this