Oberman, Adam

6 publications

NeurIPS 2025 Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman

NeurIPSW 2024 Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity David Williams-King, Linh Le, Adam Oberman, Yoshua Bengio

AISTATS 2022 On the Generalization of Representations in Reinforcement Learning Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

AISTATS 2020 A Lyapunov Analysis for Accelerated Gradient Methods: From Deterministic to Stochastic Case Maxime Laborde, Adam Oberman

AISTATS 2020 A Principled Approach for Generating Adversarial Images Under Non-Smooth Dissimilarity Metrics Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman

ICML 2020 How to Train Your Neural ODE: The World of Jacobian and Kinetic Regularization Chris Finlay, Joern-Henrik Jacobsen, Levon Nurbekyan, Adam Oberman