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 language | English (US) |
|---|---|
| State | Published - 2023 |
| Event | 11th International Conference on Learning Representations, ICLR 2023 - Kigali, Rwanda Duration: May 1 2023 → May 5 2023 |
Conference
| Conference | 11th International Conference on Learning Representations, ICLR 2023 |
|---|---|
| Country/Territory | Rwanda |
| City | Kigali |
| Period | 5/1/23 → 5/5/23 |
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
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver