Publications

• Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
  Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher
  > ICLR 2022 Feb 1

• The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
  Fabian Latorre, Leello Dadi, Paul Rolland and Volkan Cevher
  > NeurIPS 2021 Oct 1
• A Plug-and-Play Deep Image Prior
  Zhaodong Sun, Fabian Latorre, Thomas Sanchez and Volkan Cevher
  > ICASSP 2021 May 31

• Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
  Fabian Latorre, Paul Rolland, Nadav Hallak and Volkan Cevher
  > ICML 2020 Jul 2
• Lipschitz constant estimation of Neural Networks via sparse polynomial optimization
  Fabian Latorre, Paul Rolland and Volkan Cevher
  > ICLR 2020 Apr 18

• Fast and Provable ADMM for learning with Generative Priors
  Fabian Latorre, Armin Eftekhari and Volkan Cevher
  > NeurIPS 2019 Oct 19
• An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
  Mehmet Fatih Sahin, Armin Eftekhari, Ahmet Alacaoglu, Fabian Latorre and Volkan Cevher
  > NeurIPS 2019 Oct 19