4 citations · 7 across the 5 of their papers we have counts for
8 papers
MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities
Ali Elahi, Ermis Soumalias, Jason Cheuk Nam Liang +2
Modern online platforms commonly rank ads and organic content separately before blending them into a feed displayed to the user, overlooking externalities: an item's click-through…
Incentive Alignment in Online Experimentation
Ermis Soumalias, {Ermis Soumalias, Richard Mudd +1
Evaluating the causal effect of new features is a central goal for online platforms. While recent literature addresses limited testing traffic via centralized portfolio optimizatio…
LLM-Powered Preference Elicitation in Combinatorial Assignment
Ermis Soumalias, Yanchen Jiang, Kehang Zhu +3
We study the potential of large language models (LLMs) as proxies for humans to simplify preference elicitation (PE) in combinatorial assignment. While traditional PE methods rely…
The Pseudo-Dimension of Contracts
Paul Duetting, Michal Feldman, Tomasz Ponitka +1
Algorithmic contract design studies scenarios where a principal incentivizes an agent to exert effort on her behalf. In this work, we focus on settings where the agent's type is dr…
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner +1
We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address th…
Truthful Aggregation of LLMs with an Application to Online Advertising
Ermis Soumalias, Michael J. Curry, Sven Seuken
The next frontier of online advertising is revenue generation from LLM-generated content. We consider a setting where advertisers aim to influence the responses of an LLM to align…
Machine Learning-Powered Combinatorial Clock Auction
Ermis Soumalias, Jakob Weissteiner, Jakob Heiss +1
We study the design of iterative combinatorial auctions (ICAs). The main challenge in this domain is that the bundle space grows exponentially in the number of items. To address th…
Machine Learning-Powered Course Allocation
Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner +1
We study the course allocation problem, where universities assign course schedules to students. The current state-of-the-art mechanism, Course Match, has one major shortcoming: stu…