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Vesper: Measuring Time-to-Interactivity for Web Pages., , , and . NSDI, page 217-231. USENIX Association, (2018)Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads., , , and . Proc. VLDB Endow., 14 (2): 74-86 (2020)Park: An Open Platform for Learning-Augmented Computer Systems., , , , , , , , , and 7 other author(s). NeurIPS, page 2490-2502. (2019)SageDB: A Learned Database System., , , , , , , , and . CIDR, www.cidrdb.org, (2019)LISA: Towards Learned DNA Sequence Search., , , , , , and . CoRR, (2019)Stage: Query Execution Time Prediction in Amazon Redshift., , , , , , , , , and . SIGMOD Conference Companion, page 280-294. ACM, (2024)Hardness of peeling with stashes., and . Inf. Process. Lett., 116 (11): 682-688 (2016)Accurate Streaming Support Vector Machines., and . CoRR, (2014)Cortex: Harnessing Correlations to Boost Query Performance., , , and . CoRR, (2020)Building Instance Aware Systems using Explicit Performance Modeling.. Massachusetts Institute of Technology, USA, (2022)