18 citations · 19 across the 7 of their papers we have counts for
9 papers · 1 filter
Fundamental tradeoffs between memorization and robustness in random features and neural tangent regimes
Elvis Dohmatob
This work studies the (non)robustness of two-layer neural networks in various high-dimensional linearized regimes. We establish fundamental trade-offs between memorization and robu…
Implicit bias of any algorithm: bounding bias via margin
Elvis Dohmatob
Consider points in finite-dimensional euclidean space, each having one of two colors. Suppose there exists a separating hyperplane (identified with its unit no…
Classifier-independent Lower-Bounds for Adversarial Robustness
Elvis Dohmatob
We theoretically analyse the limits of robustness to test-time adversarial and noisy examples in classification. Our work focuses on deriving bounds which uniformly apply to all cl…
Learning disconnected manifolds: a no GANs land
Ugo Tanielian, Thibaut Issenhuth, Elvis Dohmatob +1
Typical architectures of Generative AdversarialNetworks make use of a unimodal latent distribution transformed by a continuous generator. Consequently, the modeled distribution alw…
On the Convergence of Approximate and Regularized Policy Iteration Schemes
Elena Smirnova, Elvis Dohmatob
Entropy regularized algorithms such as Soft Q-learning and Soft Actor-Critic, recently showed state-of-the-art performance on a number of challenging reinforcement learning (RL) ta…
Distributionally Robust Counterfactual Risk Minimization
Louis Faury, Ugo Tanielian, Flavian Vasile +2
This manuscript introduces the idea of using Distributionally Robust Optimization (DRO) for the Counterfactual Risk Minimization (CRM) problem. Tapping into a rich existing literat…