Nuara A., Trovò F., Gatti N., Restelli M. "Online joint bid/daily budget optimization of Internet advertising campaigns". Artificial Intelligence Journal, 2022.
Nuara A., Trovò F., Gatti N., Restelli M. "A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns". The 31st AAAI Conference on Artificial Intelligence, 2018.
D’Eramo C., Nuara A., Restelli M. "Estimating the Maximum Expected Value through Gaussian Approximation". The 33rd International Conference on Machine Learning, 2016.
Nuara A., Sosio N., Trovò F., Zaccardi M., Gatti N., Restelli M. "Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization". The World Wide Web Conference, 2019.
D’Eramo C., Cini A., Nuara A., Pirotta M., Alippi C., Peters J., Restelli M. "Gaussian Approximation for Bias Reduction in Q-Learning". Journal of Machine Learning Research, 2021.
Mussi, M., Genalti, G., Nuara, A., Trovó, F., Restelli, M., Gatti, N. "Pricing the long tail by explainable product aggregation and monotonic bandits". Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Nuara A., Trovò F., Crippa D., Gatti N., Restelli M. "Driving Exploration by Maximum Distribution in Gaussian Process Bandits". The 19th International Conference on Autonomous Agents and Multiagent Systems, 2020.
D’Eramo C., Nuara A., Pirotta M., Restelli M. "Estimating the Maximum Expected Value in Continuous Reinforcement Learning problems". The 31st AAAI Conference on Artificial Intelligence, 2017.
Gasparini M., Nuara A., Trovò F., Gatti N., Restelli M. "Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback". International Joint Conference on Neural Networks, 2018.
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Il titolare del presente curriculum vitae è garante e responsabile in via esclusiva della correttezza e veridicità delle informazioni in esso riportate.
