most citedPrice and Assortment Optimization under the Multinomial Logit Model with Opaque Products

1 citations · 1 across the 3 of their papers we have counts for

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12 papers

math.OC20261 cited

Price and Assortment Optimization under the Multinomial Logit Model with Opaque Products

Omar El Housni, Adam N. Elmachtoub, Harsh Sheth +1

An opaque product is a product for which only partial information is disclosed to the buyer at the time of purchase. Opaque products are common in sectors such as travel and online…

cs.LG2026

A Complexity Measure for Active Learning in Multi-group Mean Estimation

Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub

We study a \emph{max-risk} objective for active learning in a multi-group mean estimation -armed bandits: a learner adaptively allocates a budget of samples across group…

cs.CY2026

Learning Fair Demand Models

Adam N. Elmachtoub, Hyemi Kim, Jonathan Y. Tan

Data-driven pricing is increasingly prevalent in sectors such as airlines, lending, insurance, and retail. By learning demand models from customer features and setting prices accor…

cs.GT2026

Fair Aggregation in Virtual Power Plants

Liudong Chen, Hyemi Kim, Adam N. Elmachtoub +1

A virtual power plant (VPP) is operated by an aggregator that acts as a market intermediary, aggregating consumers to participate in wholesale power markets. By setting incentive p…

cs.GT2026

Simple vs. Optimal Congestion Pricing

Devansh Jalota, Xuan Di, Adam N. Elmachtoub

Congestion pricing has emerged as an effective tool for mitigating traffic congestion, yet implementing welfare or revenue-optimal dynamic tolls is often impractical. Most real-wor…

econ.GN2025

Choice Modeling and Pricing for Scheduled Services

Adam N. Elmachtoub, Kumar Goutam, Roger Lederman

We describe a novel framework for discrete choice modeling and price optimization for settings where scheduled service options (often hierarchical) are offered to customers, which…