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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)Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns., , , and . CoRR, (2020)Driving Exploration by Maximum Distribution in Gaussian Process Bandits., , , , and . AAMAS, page 948-956. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Estimating Maximum Expected Value through Gaussian Approximation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1032-1040. JMLR.org, (2016)Dynamic Pricing with Volume Discounts in Online Settings., , , , , and . AAAI, page 15560-15568. AAAI Press, (2023)Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization., , , , , and . WWW, page 1376-1386. ACM, (2019)Exploiting structure and uncertainty of Bellman updates in Markov decision processes., , , , and . SSCI, page 1-8. IEEE, (2017)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)Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems., , , and . AAAI, page 1840-1846. AAAI Press, (2017)