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Program for stream Optimization, Learning, and Games
Monday
Monday, 10:30-12:30
MB-10: Optimization, Learning, and Games I
Stream: Optimization, Learning, and Games
Room: B100/8011
Chair(s):
Georgios Piliouras
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Convex Markov Games
Ian Gemp -
The Complexity of Two-Team Polymatrix Games with Independent Adversaries
Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan -
From min-max to harmonic games: Regret, learning, and the role of optimism
Panayotis Mertikopoulos -
Revenue Efficiency of First Price Auctions over Approximate Correlated Equilibrium
Efstratios Skoulakis
Monday, 14:00-16:00
MC-10: Optimization, Learning, and Games II
Stream: Optimization, Learning, and Games
Room: B100/8011
Chair(s):
Antonios Varvitsiotis
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Robust Generalized Nash Equilibria
Mauro Passacantando, Sara Mattia -
A Stable-Set Bound and Maximal Numbers of Nash Equilibria in Bimatrix Games
Constantin Ickstadt -
Sum-of-squares for Optimal Transport: The Gromov Wasserstein Problem
Yong Sheng Soh -
Inducing Cooperation in Social Dilemmas
Stefanos Leonardos