activity
20112023
most citedReaching Consensus via non-Bayesian Asynchronous Learning in Social Networks

11 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GT2023

Certification Design for a Competitive Market

Andreas A. Haupt, Nicole Immorlica, Brendan Lucier

Motivated by applications such as voluntary carbon markets and educational testing, we consider a market for goods with varying but hidden levels of quality in the presence of a th…

econ.TH20231 cited

Efficiency in Collective Decision-Making via Quadratic Transfers

Jon X. Eguia, Nicole Immorlica, Steven P. Lalley +3

Consider the following collective choice problem: a group of budget constrained agents must choose one of several alternatives. Is there a budget balanced mechanism that: i) does n…

cs.GT20161 cited

On-demand or Spot? Selling the cloud to risk-averse customers

Darrell Hoy, Nicole Immorlica, Brendan Lucier

In Amazon EC2, cloud resources are sold through a combination of an on-demand market, in which customers buy resources at a fixed price, and a spot market, in which customers bid f…

cs.GT201411 cited

Reaching Consensus via non-Bayesian Asynchronous Learning in Social Networks

Michal Feldman, Nicole Immorlica, Brendan Lucier +1

We study the outcomes of information aggregation in online social networks. Our main result is that networks with certain realistic structural properties avoid information cascades…

cs.GT20126 cited

An Analysis of One-Dimensional Schelling Segregation

Christina Brandt, Nicole Immorlica, Gautam Kamath +1

We analyze the Schelling model of segregation in which a society of n individuals live in a ring. Each individual is one of two races and is only satisfied with his location so lon…

cs.GT2011

Dueling Algorithms

Nicole Immorlica, Adam Tauman Kalai, Brendan Lucier +3

We revisit classic algorithmic search and optimization problems from the perspective of competition. Rather than a single optimizer minimizing expected cost, we consider a zero-sum…