3 papers
math.OC2026
Finite-player Optimal Stopping Games: Randomization, -potentiality, and Learning
Xin Guo, Mehdi Talbi, Qinxin Yan
Finite-player nonzero-sum optimal stopping games typically lead to coupled equilibrium systems whose complexity grows rapidly with the number of players. We introduce an independen…
math.OC2026
Implicit Regularization of Large Neural Networks via Mean-Field Formulation
Beatrice Acciaio, Jakob Heiss, Gudmund Pammer +1
We propose a mathematical framework to explain implicit regularization from early stopping during the training of overparametrized neural networks. In the mean-field limit, the par…
math.OC2025
Iterative Schemes for Markov Perfect Equilibria
Felix Höfer, Mathieu Laurière, H. Mete Soner +1
We study Markov perfect equilibria in continuous-time dynamic games with finitely many symmetric players. The corresponding Nash system reduces to the Nash-Lasry-Lions equation for…