Zbynek Pitra

According to our database, Zbynek Pitra authored at least 24 papers between 2015 and 2022.

Collaborative distances:

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

2022

Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context.

Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena

CoRR, 2022

2021

Combining Gaussian Processes with Neural Networks for Active Learning in Optimization.

Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy.

Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy.

Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Towards Landscape Analysis in Adaptive Learning of Surrogate Models.

Zbynek Pitra, Martin Holena

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Assessment of Surrogate Model Settings Using Landscape Analysis.

Mikulás Dvorák, Zbynek Pitra, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

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

Doubly Trained Evolution Control for the Surrogate CMA-ES.

Zbynek Pitra, Lukás Bajer, Martin Holena

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.

Zbynek Pitra, Lukás Bajer, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization.

Andrej Kudinov, Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Proceedings ITAT 2015: Information Technologies, 2015

Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization.

Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed.

Lukás Bajer, Zbynek Pitra, Martin Holena

Proceedings of the Genetic and Evolutionary Computation Conference, 2015