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A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns.

, , , and . AAAI, page 2379-2386. AAAI Press, (2018)

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Estimating Maximum Expected Value through Gaussian Approximation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1032-1040. JMLR.org, (2016)Driving Exploration by Maximum Distribution in Gaussian Process Bandits., , , , and . AAMAS, page 948-956. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns., , , and . CoRR, (2020)Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty., , , , , and . CoRR, (2022)A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns., , , and . AAAI, page 2379-2386. AAAI Press, (2018)Gaussian Approximation for Bias Reduction in Q-Learning., , , , , , and . J. Mach. Learn. Res., (2021)Machine learning algorithms for the optimization of internet advertising campaigns.. Polytechnic University of Milan, Italy, (2021)Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits., , , , , and . KDD, page 3623-3633. ACM, (2022)Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback., , , , and . IJCNN, page 1-8. IEEE, (2018)Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems., , , and . AAAI, page 1840-1846. AAAI Press, (2017)