Szpruch, Lukasz

6 publications

TMLR 2024 A Fisher-Rao Gradient Flow for Entropic Mean-Field Min-Max Games Razvan-Andrei Lascu, Mateusz B. Majka, Lukasz Szpruch

ICML 2024 Generalization Error of Graph Neural Networks in the Mean-Field Regime Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen

JMLR 2023 On the Geometry of Stein Variational Gradient Descent Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch

ICML 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime James-Michael Leahy, Bekzhan Kerimkulov, David Siska, Lukasz Szpruch

NeurIPSW 2022 TAPAS: A Toolbox for Adversarial Privacy Auditing of Synthetic Data Florimond Houssiau, James Jordon, Samuel N Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum Mole, Camila Rangel-Smith, Lukasz Szpruch

NeurIPS 2021 Identifiability in Inverse Reinforcement Learning Haoyang Cao, Samuel Cohen, Lukasz Szpruch