Samuel N. Cohen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Generalization Error

Inverse Reinforcement Learning

Top Venues

J. Appl. Probab.

J. Mach. Learn. Res.

Publications

Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR (2024)
Gholamali Aminian, Samuel N. Cohen, Lukasz Szpruch
Mean-field Analysis of Generalization Errors. CoRR (2023)
Samuel N. Cohen, Marc Sabate Vidales, David Siska, Lukasz Szpruch
Inefficiency of CFMs: Hedging Perspective and Agent-Based Simulations. FC Workshops (2023)
Deqing Jiang, Justin A. Sirignano, Samuel N. Cohen
Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations. CoRR (2023)
Samuel N. Cohen, Deqing Jiang, Justin A. Sirignano
Neural Q-learning for solving PDEs. J. Mach. Learn. Res. 24 (2023)
Samuel N. Cohen, Deqing Jiang, Justin A. Sirignano
Neural Q-learning for solving elliptic PDEs. CoRR (2022)
James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
Synthetic Data - what, why and how? CoRR (2022)
Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. CoRR (2022)
Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
A Framework for Auditable Synthetic Data Generation. CoRR (2022)
Haoyang Cao, Samuel N. Cohen, Lukasz Szpruch
Identifiability in inverse reinforcement learning. CoRR (2021)
Haoyang Cao, Samuel N. Cohen, Lukasz Szpruch
Identifiability in inverse reinforcement learning. NeurIPS (2021)
Andrew L. Allan, Samuel N. Cohen
Parameter Uncertainty in the Kalman-Bucy Filter. SIAM J. Control. Optim. 57 (3) (2019)
Samuel N. Cohen, Victor Fedyashov
Nash equilibria for nonzero-sum ergodic stochastic differential games. J. Appl. Probab. 54 (4) (2017)
Robert J. Elliott, Tak Kuen Siu, Samuel N. Cohen
Backward stochastic difference equations for dynamic convex risk measures on a binomial tree. J. Appl. Probab. 52 (3) (2015)
Samuel N. Cohen
Undiscounted Markov Chain BSDEs to Stopping Times. J. Appl. Probab. 51 (1) (2014)
Samuel N. Cohen, Ying Hu
Ergodic BSDEs Driven by Markov Chains. SIAM J. Control. Optim. 51 (5) (2013)
Samuel N. Cohen, Robert J. Elliott
Backward Stochastic Difference Equations and Nearly Time-Consistent Nonlinear Expectations. SIAM J. Control. Optim. 49 (1) (2011)