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Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization.

, и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1015-1025. PMLR, (2020)

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Yuzhao Ma

Characterization of higher order modes in optical fibers. Uni Erlangen-Nürnberg, (2009)

Tsie Ma

Jingxiang Ma

Lan Ma

Ma Li

 

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Meta-Cal: Well-controlled Post-hoc Calibration by Ranking., и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 7235-7245. PMLR, (2021)A Corrected Expected Improvement Acquisition Function Under Noisy Observations., , и . ACML, том 222 из Proceedings of Machine Learning Research, стр. 1747-1762. PMLR, (2023)Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization., , и . CVPR, стр. 24542-24551. IEEE, (2023)Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1015-1025. PMLR, (2020)DepAudioNet: An Efficient Deep Model for Audio based Depression Classification., , , , и . AVEC@ACM Multimedia, стр. 35-42. ACM, (2016)A Bayesian Optimization Framework for Neural Network Compression., , , , , и . ICCV, стр. 10273-10282. IEEE, (2019)Cost-Sensitive Two-Stage Depression Prediction Using Dynamic Visual Clues., , , и . ACCV (2), том 10112 из Lecture Notes in Computer Science, стр. 338-351. (2016)Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation., и . IEEE Trans. Pattern Anal. Mach. Intell., 43 (9): 3024-3036 (2021)