I am Behzad Tabibian, PhD student at Max Planck Institute, Emperical Inference department. I studied Computer Science at University of Edinburgh and obtained my Masters at University of Pittsburgh. My main research interests are Machine Learning and Statistics and their applications in Networks.
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, Febuary 2018 (conference)
eiTabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M.
Optimizing human learningWorkshop on Teaching Machines, Robots, and Humans at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems