Samuel N. Cohen

26 papers A* 3Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Hilbert-Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control. CoRR Samuel N. Cohen, Filippo de Feo, Jackson Hebner, Justin A. Sirignano
2026	J	`jnl`	The Exponentially Weighted Signature. CoRR Alexandre Bloch, Samuel N. Cohen, Terry J. Lyons, Joël Mouterde, Benjamin Walker
2025	J	`jnl`	DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research. Data Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou
2025	A*	`conf`	Generalization and Robustness of the Tilted Empirical Risk. ICML Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2025	J	`jnl`	Neural Actor-Critic Methods for Hamilton-Jacobi-Bellman PDEs: Asymptotic Analysis and Numerical Studies. CoRR Samuel N. Cohen, Jackson Hebner, Deqing Jiang, Justin A. Sirignano
2025	J	`jnl`	Optimal Adaptive Control with Separable Drift Uncertainty. SIAM J. Control. Optim. Samuel N. Cohen, Christoph Knochenhauer, Alexander Merkel
2024	A*	`conf`	Generalization Error of Graph Neural Networks in the Mean-field Regime. ICML Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of Graph Neural Networks in the Mean-field Regime. CoRR Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen
2024	J	`jnl`	Generalization Error of the Tilted Empirical Risk. CoRR Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen
2024	J	`jnl`	Understanding Transfer Learning via Mean-field Analysis. CoRR Gholamali Aminian, Lukasz Szpruch, Samuel N. Cohen
2023	J	`jnl`	Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations. CoRR Deqing Jiang, Justin A. Sirignano, Samuel N. Cohen
2023	—	`conf`	Inefficiency of CFMs: Hedging Perspective and Agent-Based Simulations. FC Workshops Samuel N. Cohen, Marc Sabate Vidales, David Siska, Lukasz Szpruch
2023	J	`jnl`	Mean-field Analysis of Generalization Errors. CoRR Gholamali Aminian, Samuel N. Cohen, Lukasz Szpruch
2023	J	`jnl`	Neural Q-learning for solving PDEs. J. Mach. Learn. Res. Samuel N. Cohen, Deqing Jiang, Justin A. Sirignano
2022	J	`jnl`	A Framework for Auditable Synthetic Data Generation. CoRR Florimond Houssiau, Samuel N. Cohen, Lukasz Szpruch, Owen Daniel, Michaela G. Lawrence, Robin Mitra, Henry Wilde, Callum D. Mole
2022	J	`jnl`	Neural Q-learning for solving elliptic PDEs. CoRR Samuel N. Cohen, Deqing Jiang, Justin A. Sirignano
2022	J	`jnl`	Synthetic Data - what, why and how? CoRR James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel N. Cohen, Adrian Weller
2022	J	`jnl`	TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data. CoRR Florimond Houssiau, James Jordon, Samuel N. Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum D. Mole, Camila Rangel Smith, Lukasz Szpruch
2021	A*	`conf`	Identifiability in inverse reinforcement learning. NeurIPS Haoyang Cao, Samuel N. Cohen, Lukasz Szpruch
2021	J	`jnl`	Identifiability in inverse reinforcement learning. CoRR Haoyang Cao, Samuel N. Cohen, Lukasz Szpruch
2019	J	`jnl`	Parameter Uncertainty in the Kalman-Bucy Filter. SIAM J. Control. Optim. Andrew L. Allan, Samuel N. Cohen
2017	J	`jnl`	Nash equilibria for nonzero-sum ergodic stochastic differential games. J. Appl. Probab. Samuel N. Cohen, Victor Fedyashov
2015	J	`jnl`	Backward stochastic difference equations for dynamic convex risk measures on a binomial tree. J. Appl. Probab. Robert J. Elliott, Tak Kuen Siu, Samuel N. Cohen
2014	J	`jnl`	Undiscounted Markov Chain BSDEs to Stopping Times. J. Appl. Probab. Samuel N. Cohen
2013	J	`jnl`	Ergodic BSDEs Driven by Markov Chains. SIAM J. Control. Optim. Samuel N. Cohen, Ying Hu
2011	J	`jnl`	Backward Stochastic Difference Equations and Nearly Time-Consistent Nonlinear Expectations. SIAM J. Control. Optim. Samuel N. Cohen, Robert J. Elliott