Estimating Maximum Expected Value through Gaussian Approximation. - Carlo D'Eramo; Marcello Restelli; Alessandro Nuara (ICML, 2016)

Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. - Carlo D'Eramo; Alessandro Nuara; Matteo Pirotta; Marcello Restelli (AAAI, 2017)

Exploiting structure and uncertainty of Bellman updates in Markov decision processes. - Davide Tateo; Carlo D'Eramo; Alessandro Nuara; Marcello Restelli; Andrea Bonarini (SSCI, 2017)

A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (AAAI, 2018)

Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. - Margherita Gasparini; Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (IJCNN, 2018)

Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization. - Alessandro Nuara; Nicola Sosio; Francesco Trovò; Maria Chiara Zaccardi; Nicola Gatti 001; Marcello Restelli (WWW, 2019)

Driving Exploration by Maximum Distribution in Gaussian Process Bandits. - Alessandro Nuara; Francesco Trovò; Dominic Crippa; Nicola Gatti 001; Marcello Restelli (AAMAS, 2020)

A privacy-preserving tests optimization algorithm for epidemics containment. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001 (CoRR, 2020)

Gaussian Approximation for Bias Reduction in Q-Learning. - Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters 001; Marcello Restelli (J. Mach. Learn. Res., 2021)

Machine learning algorithms for the optimization of internet advertising campaigns. - Alessandro Nuara (2021)

Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. - Marco Mussi; Gianmarco Genalti; Francesco Trovò; Alessandro Nuara; Nicola Gatti 001; Marcello Restelli (KDD, 2022)

Online joint bid/daily budget optimization of Internet advertising campaigns. - Alessandro Nuara; Francesco Trovò; Nicola Gatti 001; Marcello Restelli (Artif. Intell., 2022)

Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty. - Matteo Castiglioni; Alessandro Nuara; Giulia Romano; Giorgio Spadaro; Francesco Trovò; Nicola Gatti 001 (CoRR, 2022)

Dynamic Pricing with Volume Discounts in Online Settings. - Marco Mussi; Gianmarco Genalti; Alessandro Nuara; Francesco Trovò; Marcello Restelli; Nicola Gatti 001 (AAAI, 2023)

Safe Online Bid Optimization with Return on Investment and Budget Constraints. - Matteo Castiglioni; Alessandro Nuara; Giulia Romano; Giorgio Spadaro; Francesco Trovò; Nicola Gatti 001 (KDD (1), 2025)