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Cost-Guided Cardinality Estimation: Focus Where it Matters., , , , , and . ICDE Workshops, page 154-157. IEEE, (2020)Bao: Making Learned Query Optimization Practical., , , , , and . SIGMOD Rec., 51 (1): 6-13 (2022)Steering Query Optimizers: A Practical Take on Big Data Workloads., , , , , , and . SIGMOD Conference, page 2557-2569. ACM, (2021)K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All., , , and . NDSS, The Internet Society, (2018)High Throughput Cryptocurrency Routing in Payment Channel Networks., , , , , , , and . NSDI, page 777-796. USENIX Association, (2020)Stage: Query Execution Time Prediction in Amazon Redshift., , , , , , , , , and . SIGMOD Conference Companion, page 280-294. ACM, (2024)Machine Learning for Out of Distribution Database Workloads. MIT, USA, (2024)Evaluating End-to-End Optimization for Data Analytics Applications in Weld., , , , , , , , , and 2 other author(s). Proc. VLDB Endow., 11 (9): 1002-1015 (2018)Neo: A Learned Query Optimizer., , , , , , , and . CoRR, (2019)Unshackling Database Benchmarking from Synthetic Workloads., , , , , , and . ICDE, page 3659-3662. IEEE, (2023)