The working paper “Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization” by Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein was published on … More
Category: Hyperparameter Tuning
Benchmarking and Experimentation: Pitfalls and Best Practices. Tutorial CEC 2021. Slides can be downloaded
The PDF version of the CEC21 tutorial slides (Mike Preuss, Boris Naujoks, Thomas Bartz-Beielstein) can be downloaded here: https://www.spotseven.de/new-publications/
Working Paper: Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Authors: Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen, and Martin ZaeffererCategories: cs.LGMSC-class: 68T07ACM-class: A.1; B.8.0; G.1.6; G.4; I.2.8 A surrogate model … More
Day 1 of the 2021 IEEE Congress on Evolutionary Computation
Our (Mike, Boris, and Thomas) tutorial Benchmarking and Experimentation: Pitfalls and Best Practices starts at 2:15 p.m. today. Here is … More
CEC-2021 Tutorial: Benchmarking and Experimentation
Benchmarking@CEC-2021 Tutorial “Benchmarking and Experimentation: Pitfalls and Best Practices” Time: Monday, June 28th, 2021 2:15 PM CEST Presenters: Thomas Bartz-Beielstein, … More
COSEAL Workshop 2021
The eighth COnfiguration and SElection of ALgorithms (COSEAL) Workshop is a forum for discussing the most recent advances in the … More
Google Model Search – an improvement upon AutoML
Overview The Model Search system consists of multiple trainers, a search algorithm, a transfer learning algorithm and a database to … More