EDBT 2026 Demo / reviewers in the wild / expert
Yifei Sun 0006
dblp:27/3389-6
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0001-6997-0035ORCID · verified
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design › equilibrium computation
correlated equilibrium |
0.9 | 1 | 2025 | Correlated equilibrium implementation: Navigating toward social optima with learning dynamics · EC 2025 |
Algorithmic game theory and mechanism design › learning in games
learning dynamics |
0.9 | 1 | 2025 | Correlated equilibrium implementation: Navigating toward social optima with learning dynamics · EC 2025 |
Algorithmic game theory and mechanism design
learning in games |
0.9 | 1 | 2025 | Correlated equilibrium implementation: Navigating toward social optima with learning dynamics · EC 2025 |
Algorithmic game theory and mechanism design
bounded rationality |
0.3 | 1 | 2025 | Correlated equilibrium implementation: Navigating toward social optima with learning dynamics · EC 2025 |
Methods — techniques the papers use, named apart from their topics
learning theory · 0.9game theory · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Correlated equilibrium implementation: Navigating toward social optima with learning dynamicsabstractThis paper addresses the disconnect between classical full implementation theory - which assumes sophisticated agent capable of achieving Nash equilibrium - and the reality of boundedly rational agents who often rely on simple heuristics in decision-making. Drawing on learning theory that demonstrates how elementary adaptive procedures steer behavior toward equilibrium, we investigate the implementation in correlated equilibria (CE). Soumen Banerjee, Yifei Sun 0006 |
EC | 2 |