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Scalable Learning to Troubleshoot Query Performance Problems., , , , , and . CIKM, page 4016-4025. ACM, (2021)Guided automated learning for query workload re-optimization., , , , , , and . Proc. VLDB Endow., 12 (12): 2010-2021 (2019)Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model., , , and . CoRR, (2024)BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML., , , , , , and . CIKM, page 3162-3171. ACM, (2022)Pred-cache: a predictive caching method in database systems., , , , , and . CASCON, page 93-102. ACM, (2020)Query predicate selectivity using machine learning in Db2®., , , , , , and . CASCON, page 143-152. ACM, (2021)Cardinality estimation using neural networks., , , , and . CASCON, page 53-59. IBM / ACM, (2015)GALO: Guided Automated Learning for re-Optimization., , , , , , and . Proc. VLDB Endow., 12 (12): 1778-1781 (2019)BLUTune: Tuning Up IBM Db2 with ML., , , , , and . ICDE, page 3615-3618. IEEE, (2023)A Hybrid Cost Model for Evaluating Query Execution Plans., , , , , , and . AIKE, page 133-138. IEEE, (2023)