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Sven Seuken

6 papers hereh-index 472 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.GT4
  • cs.AI2
same name
  • Sven Seuken — 32 papers, h 23

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedScalable Mechanism Design for Multi-Agent Path Finding

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

cs.GT2024

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…

cs.GT2024

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…

cs.GT2024

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Michael Curry, Vinzenz Thoma, Darshan Chakrabarti +5

Dynamic mechanism design is a challenging extension to ordinary mechanism design in which the mechanism designer must make a sequence of decisions over time in the face of possibly…

cs.GT2023

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning

Vinzenz Thoma, Michael Curry, Niao He +1

Many real-world auctions are dynamic processes, in which bidders interact and report information over multiple rounds with the auctioneer. The sequential decision making aspect pai…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.