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Correction to: Learning to bid and rank together in recommendation systems.

, , , , , , , , and . Mach. Learn., 113 (3): 1509 (2024)

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EOMM: An Engagement Optimized Matchmaking Framework., , , , , , and . WWW, page 1143-1150. ACM, (2017)Games Research Today: Analyzing the Academic Landscape 2000-2014., , , , , and . FDG, Society for the Advancement of the Science of Digital Games, (2015)Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale., , , , , , , , , and 12 other author(s). WWW (Companion Volume), page 73-82. ACM, (2024)Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale., , , , , , , , , and 12 other author(s). CoRR, (2023)A Feature Analysis Tool for Batch RL Datasets., and . WWW (Companion Volume), page 114-122. ACM / IW3C2, (2021)Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games., , , , , and . CIG, page 1-8. IEEE, (2018)AutoML for Large Capacity Modeling of Meta's Ranking Systems., , , , , , , , , and 9 other author(s). WWW (Companion Volume), page 374-382. ACM, (2024)Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta., , , , , , , , , and 11 other author(s). CoRR, (2023)A Validation Tool for Designing Reinforcement Learning Environments., and . CoRR, (2021)Personalized Execution Time Optimization for the Scheduled Jobs., , , , , , , , and . CoRR, (2022)