61 citations · 329 across the 74 of their papers we have counts for
59 papers · 1 filter
Optimal Selection Using Algorithmic Rankings with Side Information
Kate Donahue, Nicole Immorlica, Brendan Lucier
Motivated by online platforms such as job markets, we study an agent choosing from a list of candidates, each with a hidden quality that determines match value. The agent observes…
Approximately Optimal Mechanism Design for Competing Sellers
Brendan Lucier, Raghuvansh R. Saxena
Two sellers compete to sell identical products to a single buyer. Each seller chooses an arbitrary mechanism, possibly involving lotteries, to sell their product. The utility-maxim…
Flattening Supply Chains: When do Technology Improvements lead to Disintermediation?
S. Nageeb Ali, Nicole Immorlica, Meena Jagadeesan +1
In the digital economy, technological innovations make it cheaper to produce high-quality content. For example, generative AI tools reduce costs for creators who develop content to…
Online Combinatorial Allocations and Auctions with Few Samples
Paul Dütting, Thomas Kesselheim, Brendan Lucier +2
In online combinatorial allocations/auctions, n bidders sequentially arrive, each with a combinatorial valuation (such as submodular/XOS) over subsets of m indivisible items. The a…
Bundling in Oligopoly: Revenue Maximization with Single-Item Competitors
Moshe Babaioff, Linda Cai, Brendan Lucier
We consider a principal seller with heterogeneous products to sell to an additive buyer over independent items. The principal can offer an arbitrary menu of product bundles, bu…
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…