Latorre, Fabian

11 publications

ICLR 2024 Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher

ICML 2024 Improving SAM Requires Rethinking Its Optimization Formulation Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick, Volkan Cevher

ICMLW 2023 1-Path-Norm Regularization of Deep Neural Networks Fabian Latorre, Antoine Bonnet, Paul Rolland, Nadav Hallak, Volkan Cevher

ICMLW 2023 Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher

ICLR 2023 Finding Actual Descent Directions for Adversarial Training Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher

ICLR 2022 Controlling the Complexity and Lipschitz Constant Improves Polynomial Nets Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher

NeurIPS 2021 The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers Fabian Latorre, Leello Tadesse Dadi, Paul Rolland, Volkan Cevher

ICML 2020 Efficient Proximal Mapping of the 1-Path-Norm of Shallow Networks Fabian Latorre, Paul Rolland, Nadav Hallak, Volkan Cevher

ICLR 2020 Lipschitz Constant Estimation of Neural Networks via Sparse Polynomial Optimization Fabian Latorre, Paul Rolland, Volkan Cevher

NeurIPS 2019 An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre, Volkan Cevher

NeurIPS 2019 Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre, Armin Eftekhari, Volkan Cevher