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Ioannis Panageas

16 papers hereh-index 7172 citations20 works total

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

author position
  • first author2
  • middle author8
  • last author6

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG11
  • cs.GT3
  • math.OC1
  • stat.ML1
same name
  • Ioannis Panageas — 18 papers, h 7
  • Ioannis Panageas — 10 papers, h 11
  • Ioannis Panageas — 6 papers, h 1
  • Ioannis Panageas — 4 papers, h 4
  • Ioannis Panageas — 3 papers, h 4
  • Ioannis Panageas — 3 papers, h 1

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
20192026
most citedLast iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

14 citations · 36 across the 15 of their papers we have counts for

collaborators
Showing cs.GTShow all

3 papers · 1 filter

cs.GT2024

Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games

Leello Dadi, Ioannis Panageas, Stratis Skoulakis +2

We introduce an online learning algorithm in the bandit feedback model that, once adopted by all agents of a congestion game, results in game-dynamics that converge to an ε-appro…

cs.GT2023

On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails

Yi Feng, Hu Fu, Qun Hu +4

Last-iterate convergence has received extensive study in two player zero-sum games starting from bilinear, convex-concave up to settings that satisfy the MVI condition. Typical met…

cs.GT2023★ 1 cited

Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees

Ioannis Panageas, Stratis Skoulakis, Luca Viano +2

In this work, we introduce a new variant of online gradient descent, which provably converges to Nash Equilibria and simultaneously attains sublinear regret for the class of conges…

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