Jakub Repický

According to our database, Jakub Repický authored at least 13 papers between 2016 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Gaussian Process Surrogate Models for the CMA Evolution Strategy.

Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena

Evol. Comput., 2019

Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Gaussian process surrogate models for the CMA-ES.

Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization.

Jakub Repický, Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018

Automated Selection of Covariance Function for Gaussian process Surrogate Models.

Jakub Repický, Martin Holena, Zbynek Pitra

Proceedings of the 18th Conference Information Technologies, 2018

Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy.

Zbynek Pitra, Jakub Repický, Martin Holena

Proceedings of the 18th Conference Information Technologies, 2018

2017

Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models.

Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the 17th Conference on Information Technologies, 2017

Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Overview of surrogate-model versions of covariance matrix adaptation evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy.

Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Traditional Gaussian Process Surrogates in the BBOB Framework.

Jakub Repický, Lukás Bajer, Martin Holena

Proceedings of the 16th ITAT Conference Information Technologies, 2016