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- 1.0509320 - ÚI 2020 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Bajer, Lukáš - Holeňa, Martin
Knowledge-based Selection of Gaussian Process Surrogates.
IAL ECML PKDD 2019: Workshop & Tutorial on Interactive Adaptive Learning. Proceedings. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2019 - (Kottke, D.; Lemaire, D.; Calma, A.; Krempl, G.; Holzinger, A.), s. 48-63. CEUR Workshop Proceedings, 2444. ISSN 1613-0073.
[ECML PKDD 2019: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Würzburg (DE), 16.09.2019-20.09.2019]
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Grant - others:ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Benchmarking * Black-box optimization * Gaussian process * Landscape analysis
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2444/ialatecml_paper4.pdf
Permanent Link: http://hdl.handle.net/11104/0300063File Download Size Commentary Version Access 0509320-a.pdf 6 1.9 MB Publisher’s postprint require - 2.0478631 - ÚI 2018 RIV DE eng C - Conference Paper (international conference)
Repický, Jakub - Bajer, Lukáš - Pitra, Zbyněk - Holeňa, Martin
Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models.
Proceedings ITAT 2017: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2017 - (Hlaváčová, J.), s. 136-143. CEUR Workshop Proceedings, V-1885. ISBN 978-1974274741. ISSN 1613-0073.
[ITAT 2017. Conference on Theory and Practice of Information Technologies - Applications and Theory /17./. Martinské hole (SK), 22.09.2017-26.09.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process * CMA-ES
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-1885/136.pdf
Permanent Link: http://hdl.handle.net/11104/0274761File Download Size Commentary Version Access a0478631.pdf 3 761 KB Publisher’s postprint require - 3.0478629 - ÚI 2018 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Bajer, Lukáš - Repický, Jakub - Holeňa, Martin
Adaptive Doubly Trained Evolution Control for the Covariance Matrix Adaptation Evolution Strategy.
Proceedings ITAT 2017: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2017 - (Hlaváčová, J.), s. 120-128. CEUR Workshop Proceedings, V-1885. ISBN 978-1974274741. ISSN 1613-0073.
[ITAT 2017. Conference on Theory and Practice of Information Technologies - Applications and Theory /17./. Martinské hole (SK), 22.09.2017-26.09.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LO1611; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process * CMA-ES
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-1885/120.pdf
Permanent Link: http://hdl.handle.net/11104/0274762File Download Size Commentary Version Access a0478629.pdf 5 1.2 MB Publisher’s postprint require - 4.0447920 - ÚI 2016 RIV DE eng C - Conference Paper (international conference)
Pitra, Z. - Bajer, Lukáš - Holeňa, Martin
Comparing SVM, Gaussian Process and Random Forest Surrogate Models for the CMA-ES.
Proceedings ITAT 2015: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2015 - (Yaghob, J.), s. 186-193. CEUR Workshop Proceedings, V-1422. ISBN 978-1-5151-2065-0. ISSN 1613-0073.
[ITAT 2015. Conference on Theory and Practice of Information Technologies /15./. Slovenský Raj (SK), 17.09.2015-21.09.2015]
R&D Projects: GA ČR GA13-17187S
Grant - others:GA MŠk(CZ) ED2.1.00/03.0078; ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * surrogate modelling * CMA-ES * Gaussian process * random forest
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0249674File Download Size Commentary Version Access a0447920.pdf 0 1.5 MB Publisher’s postprint require - 5.0446913 - ÚI 2016 RIV US eng C - Conference Paper (international conference)
Bajer, Lukáš - Pitra, Z. - Holeňa, Martin
Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box Optimization.
GECCO Companion '15. Genetic and Evolutionary Computation Conference. Companion Material Proceedings. New York: ACM, 2015 - (Silva, S.), s. 1351-1352. ISBN 978-1-4503-3488-4.
[GECCO Companion '15. Genetic and Evolutionary Computation Conference. Madrid (ES), 11.07.2015-15.07.2015]
R&D Projects: GA ČR GA13-17187S
Grant - others:ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078
Institutional support: RVO:67985807
Keywords : Black-box optimization * Surrogate model * Gaussian process * Random forest
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0248875File Download Size Commentary Version Access a0446913.pdf 0 804.9 KB Publisher’s postprint require - 6.0446912 - ÚI 2016 RIV US eng C - Conference Paper (international conference)
Bajer, Lukáš - Pitra, Z. - Holeňa, Martin
Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless Testbed.
GECCO Companion '15. Genetic and Evolutionary Computation Conference. Companion Material Proceedings. New York: ACM, 2015 - (Silva, S.), s. 1143-1150. ISBN 978-1-4503-3488-4.
[GECCO Companion '15. Genetic and Evolutionary Computation Conference. Madrid (ES), 11.07.2015-15.07.2015]
R&D Projects: GA ČR GA13-17187S
Grant - others:ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : benchmarking * black-box optimization * surrogate model * Gaussian process * random forest
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0248874File Download Size Commentary Version Access a0446912.pdf 1 1.7 MB Publisher’s postprint require - 7.0439763 - ÚI 2015 RIV PT eng C - Conference Paper (international conference)
Bajer, Lukáš - Holeňa, Martin
Model Guided Sampling Optimization for Low-Dimensional Problems.
ICAART 2015. Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2. Lisbon: Scitepress, 2015 - (Loiseau, S.; Filipe, J.; Duval, J.; van den Herik, J.), s. 451-456. ISBN 978-989-758-074-1.
[ICAART 2015. International Conference on Agents and Artificial Intelligence /7./. Lisbon (PT), 10.01.2015-12.01.2015]
R&D Projects: GA ČR GAP202/10/1333; GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : black-box Optimization * Gaussian Process * Surrogate Modelling * EGO
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0242987File Download Size Commentary Version Access 0439763.pdf 2 772 KB Author´s preprint open-access a0439763.pdf 0 319.2 KB Publisher’s postprint require - 8.0432404 - ÚI 2015 RIV CZ eng C - Conference Paper (international conference)
Bajer, Lukáš - Holeňa, Martin
Towards Low-Dimensional Gaussian Process Metamodels for CMA-ES.
ITAT 2014. Information Technologies - Applications and Theory. Part II. Prague: Institute of Computer Science AS CR, 2014 - (Kůrková, V.; Bajer, L.; Peška, L.; Vojtáš, R.; Holeňa, M.; Nehéz, M.), s. 33-37. ISBN 978-80-87136-19-5.
[ITAT 2014. European Conference on Information Technologies - Applications and Theory /14./. Demänovská dolina (SK), 25.09.2014-29.09.2014]
R&D Projects: GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : CMA-ES * Gaussian processes * global optimization * surrogate model * metamodel
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0236768File Download Size Commentary Version Access 0432404.pdf 6 345.3 KB Publisher’s postprint open-access - 9.0396832 - ÚI 2014 RIV US eng C - Conference Paper (international conference)
Bajer, Lukáš - Holeňa, Martin - Charypar, V.
Improving the Model Guided Sampling Optimization by Model Search and Slice Sampling.
ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials. North Charleston: CreateSpace Independent Publishing Platform, 2013 - (Vinař, T.; Holeňa, M.; Lexa, M.; Peška, L.; Vojtáš, P.), s. 86-91. ISBN 978-1-4909-5208-6.
[ITAT 2013. Conference on Theory and Practice of Information Technologies. Donovaly (SK), 11.09.2013-15.09.2013]
R&D Projects: GA ČR GAP202/11/1368; GA ČR GA13-17187S
Grant - others:GA UK(CZ) 278511/2011; GA CTU(CZ) SGS12/196/OHK3/3T/14
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * EGO * Gaussian process * slice sampling
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0224521File Download Size Commentary Version Access 0396832.pdf 4 853 KB Publisher’s postprint require - 10.0394260 - ÚI 2014 RIV US eng C - Conference Paper (international conference)
Bajer, Lukáš - Charypar, V. - Holeňa, Martin
Model guided sampling optimization with gaussian processes for expensive black-box optimization.
GECCO Companion '13. Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion. New York: ACM, 2013 - (Blum, C.), s. 1715-1716. ISBN 978-1-4503-1964-5.
[GECCO 2013. Genetic and Evolutionary Computation Conference. Amsterdam (NL), 06.07.2013-10.07.2013]
R&D Projects: GA ČR GAP202/11/1368; GA ČR GA13-17187S
Grant - others:GA UK(CZ) 278511/2011; CTU(CZ) SGS12/196/OHK3/3T/14
Institutional support: RVO:67985807
Keywords : benchmarking * black-box optimization * modelling * gaussian processes
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0222531File Download Size Commentary Version Access a0394260.pdf 0 462.3 KB Publisher’s postprint require