Some of the most exciting challenges in AI for advertising.
Our research is led by researchers from Politecnico di Milano and focuses on how complex marketing systems can be measured, optimized, and understood in real-world conditions.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Safe online bid optimization with return-on-investment and budget constraints subject to uncertainty
14th European Workshop on Reinforcement Learning
When Gaussian processes meet combinatorial bandits: GCB
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Driving exploration by maximum distribution in gaussian process bandits
International Workshop on Agent-Mediated Electronic Commerce
Internet advertising for non-stationary environments
Artificial Intelligence
Online joint bid/daily budget optimization of internet advertising campaigns
The World Wide Web Conference
Dealing with interdependencies and uncertainty in multi-channel advertising campaigns optimization
Proceedings of the AAAI Conference on Artificial Intelligence
A combinatorial-bandit algorithm for the online joint bid/budget optimization of pay-per-click advertising campaigns
2018 International Joint Conference on Neural Networks (IJCNN)
Targeting optimization for internet advertising by learning from logged bandit feedback