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- 1.0536612 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Holeňa, Martin
Towards Landscape Analysis in Adaptive Learning of Surrogate Models.
Proceedings of the Workshop on Interactive Adaptive Learning. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Kottke, D.; Krempl, G.; Lemaire, V.; Holzinger, A.; Calma, A.), s. 78-83. CEUR Workshop Proceedings, 2660. ISSN 1613-0073.
[IAL 2020: International Workshop on Interactive Adaptive Learning /4./. Virtual Ghent (BE), 14.09.2020-14.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Adaptive learning * Optimization strategy * Black-box optimization * Landscape analysis * Surrogate model
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2660/ialatecml_shortpaper2.pdf
Permanent Link: http://hdl.handle.net/11104/0314364File Download Size Commentary Version Access 0536612-aw.pdf 0 890.1 KB volně online Publisher’s postprint open-access - 2.0533901 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Dvořák, M. - Pitra, Zbyněk - Holeňa, Martin
Assessment of Surrogate Model Settings Using Landscape Analysis.
Proceedings of the 20th Conference Information Technologies - Applications and Theory. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Holeňa, M.; Horváth, T.; Kelemenová, A.; Mráz, F.; Pardubská, D.; Plátek, M.; Sosík, P.), s. 81-89. CEUR Workshop Proceedings, 2718. ISSN 1613-0073.
[ITAT 2020: Information Technologies - Applications and Theory /20./. Oravská Lesná (SK), 18.09.2020-22.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Black-box optimization * CMA-ES * Surrogate modelling * 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-2718/paper20.pdf
Permanent Link: http://hdl.handle.net/11104/0312131File Download Size Commentary Version Access 0533901-aw.pdf 4 740.4 KB CC BY 4.0 Publisher’s postprint open-access - 3.0509320 - 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 - 4.0508171 - ÚI 2020 RIV US eng C - Conference Paper (international conference)
Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Landscape analysis of gaussian process surrogates for the covariance matrix adaptation evolution strategy.
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. New York: ACM, 2019 - (López-Ibáñez, M.), s. 691-699. ISBN 978-1-4503-6111-8.
[GECCO 2019: The Genetic and Evolutionary Computation Conference. Prague (CZ), 13.07.2019-17.07.2019]
R&D Projects: GA ČR GA17-01251S; GA ČR(CZ) GA18-18080S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : black-box optimization * evolutionary optimization * surrogate modelling * Gaussian process * landscape analysis
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0299146 - 5.0494113 - ÚI 2019 RIV DE eng C - Conference Paper (international conference)
Repický, Jakub - Pitra, Zbyněk - Holeňa, Martin
Automated Selection of Covariance Function for Gaussian Process Surrogate Models.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 64-71. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
R&D Projects: GA ČR GA17-01251S
Grant - others:GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : black-box optimization * Gaussian processes * information criteria * model selection
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/64.pdf
Permanent Link: http://hdl.handle.net/11104/0287367File Download Size Commentary Version Access 0494113a.pdf 5 1.3 MB Publisher’s postprint require - 6.0494112 - ÚI 2019 RIV DE eng C - Conference Paper (international conference)
Pitra, Zbyněk - Repický, Jakub - Holeňa, Martin
Boosted Regression Forest for the Doubly Trained Surrogate Covariance Matrix Adaptation Evolution Strategy.
ITAT 2018: Information Technologies – Applications and Theory. Proceedings of the 18th conference ITAT 2018. Aachen: Technical University & CreateSpace Independent Publishing Platform, 2018 - (Krajči, S.), s. 72-79. CEUR Workshop Proceedings, V-2203. ISSN 1613-0073.
[ITAT 2018. Conference on Information Technologies – Applications and Theory /18./. Plejsy (SK), 21.09.2018-25.09.2018]
R&D Projects: GA ČR GA17-01251S
Grant - others:ČVUT(CZ) SGS17/193/OHK4/3T/14; GA MŠk(CZ) LM2015042
Institutional support: RVO:67985807
Keywords : Gradient boosting * Random forest * Black-box optimization * Surrogate model * Benchmarking
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2203/72.pdf
Permanent Link: http://hdl.handle.net/11104/0287361File Download Size Commentary Version Access 0494112a.pdf 8 1.1 MB Publisher’s postprint require - 7.0493805 - ÚI 2019 RIV CZ eng C - Conference Paper (international conference)
Kalina, Jan - Pitra, Zbyněk
How to down-weight observations in robust regression: A metalearning study.
Mathematical Methods in Economics 2018. Conference Proceedings. Prague: MatfyzPress, 2018 - (Váchová, L.; Kratochvíl, V.), s. 204-209. ISBN 978-80-7378-371-6.
[MME 2018. International Conference Mathematical Methods in Economics /36./. Jindřichův Hradec (CZ), 12.09.2018-14.09.2018]
R&D Projects: GA ČR GA17-07384S; GA ČR GA17-01251S
Institutional support: RVO:67985807
Keywords : metalearning * robust statistics * linear regression * outliers
OECD category: Statistics and probability
Permanent Link: http://hdl.handle.net/11104/0287108File Download Size Commentary Version Access a0493805.pdf 21 719.5 KB Publisher’s postprint require - 8.0478631 - 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 - 9.0478629 - 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 - 10.0466878 - ÚI 2017 RIV CH eng C - Conference Paper (international conference)
Pitra, Zbyněk - Bajer, L. - Holeňa, Martin
Doubly Trained Evolution Control for the Surrogate CMA-ES.
Parallel Problem Solving from Nature - PPSN XIV. Cham: Springer, 2016 - (Handl, J.; Hart, E.; Lewis, P.; López-Ibáñez, M.; Ochoa, G.; Paechter, B.), s. 59-68. Lecture Notes in Computer Science, 9921. ISBN 978-3-319-45822-9. ISSN 0302-9743.
[PPSN XIV. International Conference on Parallel Problem Solving from Nature /14./. Edinburgh (GB), 17.09.2016-21.09.2016]
R&D Projects: GA MZd(CZ) NV15-33250A
Grant - others:ČVUT(CZ) SGS14/205/OHK4/3T/14; GA MŠk(CZ) ED2.1.00/03.0078; GA MŠk(CZ) LO1611; GA MŠk(CZ) LM2010005
Institutional support: RVO:67985807
Keywords : black-box optimization * surrogate model * evolution control * Gaussian process
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0265826File Download Size Commentary Version Access a0466878.pdf 2 449.1 KB Publisher’s postprint require