Zbynek Pitra

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 25

Top Topics

Gaussian Process

Top Venues

GECCO (Companion)

Publications

Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. CoRR (2022)
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization. LION (2021)
Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy. ITAT (2021)
Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena
Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy. GECCO (2021)
Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
Combining Gaussian Processes with Neural Networks for Active Learning in Optimization. IAL@PKDD/ECML (2021)
Zbynek Pitra, Martin Holena
Towards Landscape Analysis in Adaptive Learning of Surrogate Models. IAL@PKDD/ECML (2020)
Mikulás Dvorák, Zbynek Pitra, Martin Holena
Assessment of Surrogate Model Settings Using Landscape Analysis. ITAT (2020)
Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
Gaussian process surrogate models for the CMA-ES. GECCO (Companion) (2019)
Zbynek Pitra, Jakub Repický, Martin Holena
Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy. GECCO (2019)
Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
Gaussian Process Surrogate Models for the CMA Evolution Strategy. Evol. Comput. 27 (4) (2019)
Zbynek Pitra, Jakub Repický, Martin Holena
Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy. ITAT (2018)
Jakub Repický, Martin Holena, Zbynek Pitra
Automated Selection of Covariance Function for Gaussian process Surrogate Models. ITAT (2018)
Zbynek Pitra, Jakub Repický, Martin Holena
Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization. IAL@PKDD/ECML (2018)
Jakub Repický, Zbynek Pitra, Martin Holena
Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization. IAL@PKDD/ECML (2018)
Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. ITAT (2017)
Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy. ITAT (2017)
Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. GECCO (Companion) (2017)
Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. CoRR (2017)
Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
Overview of surrogate-model versions of covariance matrix adaptation evolution strategy. GECCO (Companion) (2017)
Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy. GECCO (Companion) (2017)
Zbynek Pitra, Lukás Bajer, Martin Holena
Doubly Trained Evolution Control for the Surrogate CMA-ES. PPSN (2016)
Lukás Bajer, Zbynek Pitra, Martin Holena
Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization. GECCO (Companion) (2015)
Zbynek Pitra, Lukás Bajer, Martin Holena
Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES. ITAT (2015)
Lukás Bajer, Zbynek Pitra, Martin Holena
Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed. GECCO (Companion) (2015)
Andrej Kudinov, Lukás Bajer, Zbynek Pitra, Martin Holena
Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization. ITAT (2015)