59 citations · 192 across the 56 of their papers we have counts for
6 papers · 1 filter
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
Cynthia Dwork, Chris Hays, Nicole Immorlica +2
Professional networks provide invaluable entree to opportunity through referrals and introductions. A rich literature shows they also serve to entrench and even exacerbate a status…
Generative AI as Economic Agents
Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins
Traditionally, AI has been modeled within economics as a technology that impacts payoffs by reducing costs or refining information for human agents. Our position is that, in light…
Maximal Procurement under a Budget
Nicole Immorlica, Nicholas Wu, Brendan Lucier
We study the problem of a principal who wants to influence an agent's observable action, subject to an ex-post budget. The agent has a private type determining their cost function.…
Online Algorithms with Limited Data Retention
Nicole Immorlica, Brendan Lucier, Markus Mobius +1
We introduce a model of online algorithms subject to strict constraints on data retention. An online learning algorithm encounters a stream of data points, one per round, generated…
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan +2
When deployed in the world, a learning agent such as a recommender system or a chatbot often repeatedly interacts with another learning agent (such as a user) over time. In many su…
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms
Nicole Immorlica, Meena Jagadeesan, Brendan Lucier
Online content platforms commonly use engagement-based optimization when making recommendations. This encourages content creators to invest in quality, but also rewards gaming tric…