Samuel N. Cohen

Orcid: 0000-0003-0539-6414

According to our database1, Samuel N. Cohen authored at least 16 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generalization Error of Graph Neural Networks in the Mean-field Regime.
CoRR, 2024

2023
Neural Q-learning for solving PDEs.
J. Mach. Learn. Res., 2023

Mean-field Analysis of Generalization Errors.
CoRR, 2023

Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations.
CoRR, 2023

Inefficiency of CFMs: Hedging Perspective and Agent-Based Simulations.
Proceedings of the Financial Cryptography and Data Security. FC 2023 International Workshops, 2023

2022
A Framework for Auditable Synthetic Data Generation.
CoRR, 2022

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.
CoRR, 2022

Synthetic Data - what, why and how?
CoRR, 2022

Neural Q-learning for solving elliptic PDEs.
CoRR, 2022

2021
Identifiability in inverse reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Parameter Uncertainty in the Kalman-Bucy Filter.
SIAM J. Control. Optim., 2019

2017
Nash equilibria for nonzero-sum ergodic stochastic differential games.
J. Appl. Probab., 2017

2015
Backward stochastic difference equations for dynamic convex risk measures on a binomial tree.
J. Appl. Probab., 2015

2014
Undiscounted Markov Chain BSDEs to Stopping Times.
J. Appl. Probab., 2014

2013
Ergodic BSDEs Driven by Markov Chains.
SIAM J. Control. Optim., 2013

2011
Backward Stochastic Difference Equations and Nearly Time-Consistent Nonlinear Expectations.
SIAM J. Control. Optim., 2011


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