Tag Archives: machine learning

Best Student Paper Award @ ICAART 2019

Very proud that our PhD student, Reza Refaei Afshar, has received the Best Student Paper Award for his work presented at the 11th International Conference on Agents and Artificial Intelligence held on 19 – 21 February, in Prague, Czech Republic. The paper titled “A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy” was co-authored by me, Murat Firat and Uzay Kaymak.

Nowadays, one of the most important sources of income for publishers who own websites is through online advertising (online ADs). For online publishers, it is difficult to design good strategies to manage their online AD auction systems due to highly dynamic real-time bidding environment. This paper proposes a machine learning based decision support system for publishers, which is built from historical AD auction data. The proposed method demonstrates its effectiveness in terms of the increased expected revenue for publishers.

The paper is available at: https://research.tue.nl/en/publications/a-reinforcement-learning-method-to-select-ad-networks-in-waterfal

Paper accepted by AAAI2019!

Super excited and proud! Our paper “Learning optimal classification trees using a binary linear program formulation” was accepted by AAAI (Thirty-Third AAAI Conference on Artificial Intelligence)! Acceptance rate 16.2% over 7700 submissions!
We show the power of optimization methods for deriving interpretable machine learning models.