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

Consequential Ranking Algorithms and Long-term Welfare @ Misinfo Workshop 2019

May 13, 2019

I will be presenting our latest work on Consequential Ranking Algorithms and Long-term Welfare at Misinfo Workshop at the World Wide Web conference. Preprint of this paper is available on Arxiv.

(Un) Truth – Journalism and Democracy in the Digital Age

April 24, 2019

I will be participating in this Symposium organized by German Consulate in Toronto, and will present some aspects of my research on misinformation and information integrity on the web.

Enhancing human learning via spaced repetition optimization @ PNAS

January 23, 2019

Our paper, "Enhancing human learning via spaced repetition optimization", has been accepted at Proceedings of National Academy of Sciences of the United States of America.

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

July 24, 2018

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

June 11, 2018

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

Therefore the seeker after the truth is not one who studies the writings of the ancients and, following his natural disposition, puts his trust on them, but rather the one who suspects his faith in them and questions what he gathers from them, the one who submits to argument and demonstration, and not to the sayings of a human being whose nature is fraught with all kinds of imperfection and deficiency.
Thus the duty of man who investigates the writings of scientists, if learning the truth is his goal, is to make himself an enemy of all that he reads, and, applying his mind to the core and margins of its content, attack it from every side.
He should also suspect himself as he performs his critical examination of it, so that he may avoid falling into either prejudice or leniency.
Ibn al Haytham 965-1040

Recent Posts

Hacking into Evolutionary Dynamics

August 10, 2017

This notebook contains some implementations of algorithms and ideas discussed in "Evolutionary Dynamics" by M. Novak. For better undrestanding of the code and equtions please consult first five chapters of the book.

Tutorial on Latent Dirichlet Allocation

July 01, 2017

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.