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Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models.

, , , , , , and . KDD, page 3671-3681. ACM, (2022)

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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization., , , , , , , , , and 5 other author(s). CoRR, (2020)Learning deep kernels in the space of dot product polynomials., and . Mach. Learn., 106 (9-10): 1245-1269 (2017)Fair Bayesian Optimization., , , and . CoRR, (2020)Fortuna: A Library for Uncertainty Quantification in Deep Learning., , , , , and . CoRR, (2023)Taking Advantage of Multitask Learning for Fair Classification., , , and . CoRR, (2018)Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization., , , , , , , , , and 5 other author(s). KDD, page 3463-3471. ACM, (2021)Learning Fair and Transferable Representations with Theoretical Guarantees., , , and . DSAA, page 30-39. IEEE, (2020)On Hyperparameter Optimization in Learning Systems., , , and . ICLR (Workshop), OpenReview.net, (2017)Marthe: Scheduling the Learning Rate Via Online Hypergradients., , , , and . IJCAI, page 2119-2125. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..On the Lack of Robust Interpretability of Neural Text Classifiers., , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3730-3740. Association for Computational Linguistics, (2021)