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Volumn 2018-December, Issue , 2018, Pages 2016-2025

Neural architecture search with Bayesian optimisation and optimal transport

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; MACHINE LEARNING; NEURAL NETWORKS;

EID: 85064546131     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (555)

References (54)
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    • Dealing with asynchronicity in parallel Gaussian process based global optimization
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    • Ginsbourger, D.1    Janusevskis, J.2    Le Riche, R.3
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    • 84856930049 scopus 로고    scopus 로고
    • Sequential model-based optimization for general algorithm configuration
    • Frank Hutter, Holger H Hoos, and Kevin Leyton-Brown. Sequential model-based optimization for general algorithm configuration. In LION, 2011.
    • (2011) LION
    • Hutter, F.1    Hoos, H.H.2    Leyton-Brown, K.3
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    • 0002933170 scopus 로고
    • Designing neural networks using genetic algorithms with graph generation system
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    • Kitano, H.1
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    • Diffusion kernels on graphs and other discrete input spaces
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    • Kondor, R.I.1    Lafferty, J.2
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    • Bayesian approach to global optimization and application to multiobjective and constrained problems
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    • Mockus, J.B.1    Mockus, L.J.2
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    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • Kenneth O Stanley and Risto Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary computation, 10(2):99-127, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.2 , pp. 99-127
    • Stanley, K.O.1    Miikkulainen, R.2
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    • 84970007040 scopus 로고    scopus 로고
    • Kernel interpolation for scalable structured Gaussian processes (kiss-gp)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.