48 citations · 112 across the 6 of their papers we have counts for
6 papers
Consequential Ranking Algorithms and Long-term Welfare
Behzad Tabibian, Vicenç Gómez, Abir De +2
Ranking models are typically designed to provide rankings that optimize some measure of immediate utility to the users. As a result, they have been unable to anticipate an increasi…
Optimal Decision Making Under Strategic Behavior
Stratis Tsirtsis, Behzad Tabibian, Moein Khajehnejad +3
We are witnessing an increasing use of data-driven predictive models to inform decisions. As decisions have implications for individuals and society, there is increasing pressure o…
Optimizing Human Learning
Behzad Tabibian, Utkarsh Upadhyay, Abir De +3
Spaced repetition is a technique for efficient memorization which uses repeated, spaced review of content to improve long-term retention. Can we find the optimal reviewing schedule…
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Jooyeon Kim, Behzad Tabibian, Alice Oh +2
Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a st…
Design and Analysis of the NIPS 2016 Review Process
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet +2
Neural Information Processing Systems (NIPS) is a top-tier annual conference in machine learning. The 2016 edition of the conference comprised more than 2,400 paper submissions, 3,…
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar +3
Online knowledge repositories typically rely on their users or dedicated editors to evaluate the reliability of their content. These evaluations can be viewed as noisy measurements…