145 citations · 302 across the 16 of their papers we have counts for
18 papers
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani +17
We describe the current content moderation strategy employed by Meta to remove policy-violating content from its platforms. Meta relies on both handcrafted and learned risk models…
Robust and fair work allocation
Amine Allouah, Christian Kroer, Xuan Zhang +6
In today's digital world, interaction with online platforms is ubiquitous, and thus content moderation is important for protecting users from content that do not comply with pre-es…
QUEST: Queue Simulation for Content Moderation at Scale
Rahul Makhijani, Parikshit Shah, Vashist Avadhanula +3
Moderating content in social media platforms is a formidable challenge due to the unprecedented scale of such systems, which typically handle billions of posts per day. Some of the…
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Fitting a graphical model to a collection of random variables given sample observations is a challenging task if the observed variables are influenced by latent variables, which ca…
Robust Market Equilibria with Uncertain Preferences
Riley Murray, Christian Kroer, Alex Peysakhovich +1
The problem of allocating scarce items to individuals is an important practical question in market design. An increasingly popular set of mechanisms for this task uses the concept…
False Discovery and Its Control in Low Rank Estimation
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Models specified by low-rank matrices are ubiquitous in contemporary applications. In many of these problem domains, the row/column space structure of a low-rank matrix carries inf…