Zbynek Pitra - RankMe

27 papers A 3Journal 4Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context (Extended Abstract). GECCO Companion Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2025	J	`jnl`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. Evol. Comput. Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2022	J	`jnl`	Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. CoRR Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena
2021	—	`conf`	Combining Gaussian Processes and Neural Networks in Surrogate Modelling for Covariance Matrix Adaptation Evolution Strategy. ITAT Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021	—	`conf`	Combining Gaussian Processes with Neural Networks for Active Learning in Optimization. IAL@PKDD/ECML Jirí Ruzicka, Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2021	A	`conf`	Interaction between model and its evolution control in surrogate-assisted CMA evolution strategy. GECCO Zbynek Pitra, Marek Hanus, Jan Koza, Jirí Tumpach, Martin Holena
2021	—	`conf`	Using Past Experience for Configuration of Gaussian Processes in Black-Box Optimization. LION Jan Koza, Jirí Tumpach, Zbynek Pitra, Martin Holena
2020	—	`conf`	Assessment of Surrogate Model Settings Using Landscape Analysis. ITAT Mikulás Dvorák, Zbynek Pitra, Martin Holena
2020	—	`conf`	Towards Landscape Analysis in Adaptive Learning of Surrogate Models. IAL@PKDD/ECML Zbynek Pitra, Martin Holena
2019	J	`jnl`	Gaussian Process Surrogate Models for the CMA Evolution Strategy. Evol. Comput. Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
2019	—	`conf`	Gaussian process surrogate models for the CMA-ES. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Jakub Repický, Martin Holena
2019	A	`conf`	Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy. GECCO Zbynek Pitra, Jakub Repický, Martin Holena
2018	—	`conf`	Adaptive Selection of Gaussian Process Model for Active Learning in Expensive Optimization. IAL@PKDD/ECML Jakub Repický, Zbynek Pitra, Martin Holena
2018	—	`conf`	Automated Selection of Covariance Function for Gaussian process Surrogate Models. ITAT Jakub Repický, Martin Holena, Zbynek Pitra
2018	—	`conf`	Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy. ITAT Zbynek Pitra, Jakub Repický, Martin Holena
2018	—	`conf`	Transfer of Knowledge for Surrogate Model Selection in Cost-Aware Optimization. IAL@PKDD/ECML Zbynek Pitra, Jakub Repický, Martin Holena
2017	—	`conf`	Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy. ITAT Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. ITAT Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
2017	J	`jnl`	Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models. CoRR Jakub Repický, Lukás Bajer, Zbynek Pitra, Martin Holena
2017	—	`conf`	Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2017	—	`conf`	Overview of surrogate-model versions of covariance matrix adaptation evolution strategy. GECCO (Companion) Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena
2016	A	`conf`	Doubly Trained Evolution Control for the Surrogate CMA-ES. PPSN Zbynek Pitra, Lukás Bajer, Martin Holena
2015	—	`conf`	Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Martin Holena
2015	—	`conf`	Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES. ITAT Zbynek Pitra, Lukás Bajer, Martin Holena
2015	—	`conf`	Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization. GECCO (Companion) Lukás Bajer, Zbynek Pitra, Martin Holena
2015	—	`conf`	Investigation of Gaussian Processes in the Context of Black-Box Evolutionary Optimization. ITAT Andrej Kudinov, Lukás Bajer, Zbynek Pitra, Martin Holena