Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Multi-Objective Population Based Training for Hyperparameter Optimization

AutoML Seminars via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn about Multi-Objective Population Based Training (MO-PBT) in this 26-minute AutoML seminar presented by Arkadiy Dushatskiy from CWI. Explore how MO-PBT extends the efficient hyperparameter optimization algorithm Population Based Training (PBT) to handle multiple conflicting objectives commonly found in real-world scenarios. Discover through experimental results how MO-PBT demonstrates superior performance compared to random search, single-objective PBT, and MO-ASHA when optimizing for multiple objectives like Precision/Recall, Accuracy/Fairness, and Accuracy/Adversarial Robustness. Access the accompanying research paper and implementation code to dive deeper into this novel approach for multi-objective hyperparameter optimization.

Syllabus

Arkadiy Dushatskiy: Multi-Objective Population Based Training

Taught by

AutoML Seminars

Reviews

Start your review of Multi-Objective Population Based Training for Hyperparameter Optimization

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.