27 December 2019 (12:40):  IEEE AP/MTT/EMC/ED Turkey Seminar Series (S.64)

Speaker: Asst. Prof. Cem Tekin, Bilkent University

Topic: "Exploration and Exploitation in Complex Domains: Learning with Multiple Objectives and Contexts"

Location: Middle East Technical University, Ankara, Turkey

Abstract: Delivering personalized medicine for treatment of complex diseases, discovering and recommending interesting articles for a particular user from a huge set of documents and optimising hyper-parameters of deep learning architectures given a particular dataset all require context-driven learning of optimal decisions over time. Efficient online learning in these domains is a formidable task at least for two reasons. The first is that the contexts often arrive from a variety of sources and have diverse features, so that integrating what is learned is subject to the curse of dimensionality. The second is that existence of multiple and possibly conflicting objectives often makes it impossible to simultaneously optimize each objective. In this talk, I will present recent pieces of multi-objective and contextual bandit models addressing these challenges. In particular, I will explain how to tradeoff conflicting objectives using notions of lexicographic and Pareto optimality in an online learning setting and context-dependent multi-dimensional rewards. I will discuss how the well-known notion of regret can be extended to capture a rich set of multi-dimensional performance metrics, and present learning algorithms with sublinear regret guarantees.

Bio: Cem Tekin is an Assistant Professor in the Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey. He received PhD in Electrical Engineering: Systems, MS in Mathematics and MSE in Electrical Engineering: Systems, from the University of Michigan in 2013, 2011 and 2010, respectively. He received BS degree in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey in 2008. From 2013 to 2015, he was a postdoctoral scholar in Electrical Engineering Department, UCLA. Cem has authored or coauthored over 50 research papers, 5 book chapters and a research monograph. He received the Fred W. Ellersick Award for the best paper in MILCOM 2009 and the Science Academy Association of Turkey Distinguished Young Scientist (BAGEP) Award and Parlar Foundation Young Investigator Award in 2019. His research interests include bandit problems, machine learning for personalized medicine, multi-agent systems, stream mining, influence maximization and cognitive communications.

  Date and Time




  • Ankara, Ankara
  • Turkey



Asst. Prof. Cem Tekin


Exploration and Exploitation in Complex Domains: Learning with Multiple Objectives and Contexts