activity
20012023
most citedMitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

799 citations · 7.4k across the 102 of their papers we have counts for

collaborators

114 papers

cs.GT2023★ 2 cited

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models

Benjamin Laufer, Jon Kleinberg, Hoda Heidari

Recent advances in Machine Learning (ML) and Artificial Intelligence (AI) follow a familiar structure: A firm releases a large, pretrained model. It is designed to be adapted and t…

cs.IR2023★ 2 cited

Reconciling the accuracy-diversity trade-off in recommendations

Kenny Peng, Manish Raghavan, Emma Pierson +2

In recommendation settings, there is an apparent trade-off between the goals of accuracy (to recommend items a user is most likely to want) and diversity (to recommend items repres…

cs.MA2023★ 1 cited

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Instant runoff voting (IRV) has recently gained popularity as an alternative to plurality voting for political elections, with advocates claiming a range of advantages, including t…

cs.GT2023

Private Blotto: Viewpoint Competition with Polarized Agents

Kate Donahue, Jon Kleinberg

Social media platforms are responsible for collecting and disseminating vast quantities of content. Recently, however, they have also begun enlisting users in helping annotate this…

cs.DS2023

Calibrated Recommendations for Users with Decaying Attention

Jon Kleinberg, Emily Ryu, Éva Tardos

Recommendation systems capable of providing diverse sets of results are a focus of increasing importance, with motivations ranging from fairness to novelty and other aspects of opt…

cs.GT2023

Informational Diversity and Affinity Bias in Team Growth Dynamics

Hoda Heidari, Solon Barocas, Jon Kleinberg +1

Prior work has provided strong evidence that, within organizational settings, teams that bring a diversity of information and perspectives to a task are more effective than teams t…