Alessandro Nuara
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A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns
A Nuara, F Trovo, N Gatti, M Restelli
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Estimating the Maximum Expected Value through Gaussian Approximation
C D’Eramo, A Nuara, M Restelli
Proceedings of The 33rd International Conference on Machine Learning, 1032-1040, 2016
Targeting optimization for internet advertising by learning from logged bandit feedback
M Gasparini, A Nuara, F Trovò, N Gatti, M Restelli
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
Estimating the maximum expected value in continuous reinforcement learning problems
C D'Eramo, A Nuara, M Pirotta, M Restelli
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Internet advertising for non-stationary environments
EM Italia, A Nuara, F Trovo, M Restelli, N Gatti, E Dellavalle
International Workshop on Agent-Mediated Electronic Commerce, 1-15, 2017
Dealing with interdependencies and uncertainty in multi-channel advertising campaigns optimization
A Nuara, N Sosio, F TrovÃ, MC Zaccardi, N Gatti, M Restelli
The World Wide Web Conference, 1376-1386, 2019
Online joint bid/daily budget optimization of internet advertising campaigns
A Nuara, F Trovò, N Gatti, M Restelli
arXiv preprint arXiv:2003.01452, 2020
Driving exploration by maximum distribution in gaussian process bandits
A Nuara, F Trovò, D Crippa, N Gatti, M Restelli
International Conference on Autonomous Agents and MultiAgent Systems, 948-956, 2020
When gaussian processes meet combinatorial bandits: GCB
GM Accabi, F Trovo, A Nuara, N Gatti, M Restelli
European Workshop on Reinforcement Learning (EWRL), 1-11, 2018
Exploiting structure and uncertainty of Bellman updates in Markov decision processes
D Tateo, C D'Eramo, A Nuara, M Restelli, A Bonarini
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
Machine learning algorithms for the optimization of internet advertising campaigns
A Nuara
Italy, 2021
Gaussian Approximation for Bias Reduction in Q-Learning
C D'Eramo, A Cini, A Nuara, M Pirotta, C Alippi, J Peters, M Restelli
Journal of Machine Learning Research 22 (277), 1-51, 2021
A privacy-preserving tests optimization algorithm for epidemics containment
A Nuara, F Trovò, N Gatti
arXiv preprint arXiv:2006.15977, 2020
IDIL: Exploiting Interdependence to Optimize Multi-Channel Advertising Campaigns
A Nuara, S Nicola, F Trovo, MC Zaccardi, N Gatti, M Restelli
Games, Agents and Incentives Workshops, 1-9, 2019
Online Joint Bid/Budget Optimization of Pay-per-click Advertising Campaigns
A Nuara, F Trovo, N Gatti, M Restelli
16th European Conference on Multi-Agent Systems, 1-15, 2018
On the estimation of the maximum expected value in reinforcement learning
Italy, 2016
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