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Discovering and Exploiting Additive Structure for Bayesian Optimization.

J. Gardner, C. Guo, K. Weinberger, R. Garnett, и R. Grosse. AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 1311-1319. PMLR, (2017)

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Jacob R Izbicki

C R Jacob

Hella R Jacob

Matthew Gardner

Philippa Gardner

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Reducing the Variance of Gaussian Process Hyperparameter Optimization with Preconditioning.J. Wenger, G. Pleiss, P. Hennig, J. Cunningham, и J. Gardner. CoRR, (2021)wenda_gpu: fast domain adaptation for genomic data.A. Hippen, J. Crawford, J. Gardner, и C. Greene. Bioinform., 38 (22): 5129-5130 (ноября 2022)Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction.H. Wang, H. Zhang, Y. Deng, J. Gardner, D. Roth, и M. Chen. EACL, стр. 541-553. Association for Computational Linguistics, (2023)Exact Gaussian Processes on a Million Data Points.K. Wang, G. Pleiss, J. Gardner, S. Tyree, K. Weinberger, и A. Wilson. NeurIPS, стр. 14622-14632. (2019)Bayesian Active Model Selection with an Application to Automated Audiometry.J. Gardner, G. Malkomes, R. Garnett, K. Weinberger, D. Barbour, и J. Cunningham. NIPS, стр. 2386-2394. (2015)Discovering Many Diverse Solutions with Bayesian Optimization.N. Maus, K. Wu, D. Eriksson, и J. Gardner. AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 1779-1798. PMLR, (2023)Constant-Time Predictive Distributions for Gaussian Processes.G. Pleiss, J. Gardner, K. Weinberger, и A. Wilson. ICML, том 80 из Proceedings of Machine Learning Research, стр. 4111-4120. PMLR, (2018)Simple Black-box Adversarial Attacks.C. Guo, J. Gardner, Y. You, A. Wilson, и K. Weinberger. ICML, том 97 из Proceedings of Machine Learning Research, стр. 2484-2493. PMLR, (2019)Discovering and Exploiting Additive Structure for Bayesian Optimization.J. Gardner, C. Guo, K. Weinberger, R. Garnett, и R. Grosse. AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 1311-1319. PMLR, (2017)Neural Likelihoods for Multi-Output Gaussian Processes.M. Jankowiak, и J. Gardner. CoRR, (2019)

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