My name is Behzad Tabibian, I am a PhD student at Max Planck Institute, Emperical inference department with Prof. Dr. Bernhard Schölkopf and Dr. Manuel Gomez Rodriguez. I studied Computer Science at Edinburgh University and graduated in June of 2012 and completed my masters at university of Pittsburgh. My main research interests are Machine Learning, Statistics and Inference. I primarily apply Machine Learning on (Social) Networks problems.

Recent News

Design and Analysis of the NIPS 2016 Review Process Accepted at JMLR

In this paper, we analyze several aspects of the data collected during the review process, including an experiment investigating the efficacy of collecting ordinal rankings from reviewers (vs. usual scores aka cardinal rankings). Our goal is to check the soundness of the review process we implemented and, in going so, provide insights that may be useful in the design of the review process of subsequent conferences. We introduce a number of metrics that could be used for monitoring improvements when new ideas are introduced.

Research Internship @ FB

I will be spending the summar at Facebook in Menlo Park with Misinformation team addressing problems related to spread of Misinformation in social networks.

Recent Posts

Tutorial on Latent Dirichlet Allocation

I gave a tutorial on Latent Dirichlet Allocation as part of PhD tutorials at our department. Here you can find the contents I covered in this talk.