NIPS Proceedingsβ

Julien Mairal

9 Papers

  • Invariance and Stability of Deep Convolutional Representations (2017)
  • Learning Neural Representations of Human Cognition across Many fMRI Studies (2017)
  • Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure (2017)
  • End-to-End Kernel Learning with Supervised Convolutional Kernel Networks (2016)
  • A Universal Catalyst for First-Order Optimization (2015)
  • Convolutional Kernel Networks (2014)
  • Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization (2013)
  • Network Flow Algorithms for Structured Sparsity (2010)
  • Supervised Dictionary Learning (2008)