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Marek Bojko

dblp:282/0538 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0004-3726-0153ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › mechanism design
information elicitation
0.912025
Data-Driven Mechanism Design: Jointly Eliciting Preferences and Information · EC 2025
Algorithmic game theory and mechanism design
mechanism design
0.912025
Data-Driven Mechanism Design: Jointly Eliciting Preferences and Information · EC 2025
Algorithmic game theory and mechanism design
social welfare
0.912025
Data-Driven Mechanism Design: Jointly Eliciting Preferences and Information · EC 2025

Methods — techniques the papers use, named apart from their topics

message-driven mechanism · 0.9
YearPublicationVenuePosition
2025 Data-Driven Mechanism Design: Jointly Eliciting Preferences and Information
abstract
We study mechanism design when agents have private preferences and private information about a common payoff-relevant state. We show that standard message-driven mechanisms cannot implement socially efficient allocations when agents have multidimensional types, even under favorable conditions.
Dirk Bergemann, Marek Bojko, Paul Dütting, Renato Paes Leme, Song Zuo
EC2