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Weighted Meta-Learning, , , and . (2020)cite arxiv:2003.09465Comment: 18 pages, 7 figures.Differentiable Feature Selection by Discrete Relaxation., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1564-1572. PMLR, (2020)Direct Loss Minimization for Sparse Gaussian Processes., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2566-2574. PMLR, (2021)Probabilistic Matrix Factorization for Automated Machine Learning., , and . NeurIPS, page 3352-3361. (2018)Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models., and . NIPS, page 5151-5161. (2017)Sparse Variational Inference for Generalized GP Models., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1302-1311. JMLR.org, (2015)Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models., and . AABI, volume 118 of Proceedings of Machine Learning Research, page 1-18. PMLR, (2019)Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach., , , and . CoRR, (2022)Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 9076-9093. PMLR, (2023)Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform., , , and . J. Electronic Imaging, 14 (3): 033011 (2005)