NIPS Proceedingsβ

Ian En-Hsu Yen

8 Papers

  • MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization (2018)
  • Representer Point Selection for Explaining Deep Neural Networks (2018)
  • Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain (2016)
  • A Dual Augmented Block Minimization Framework for Learning with Limited Memory (2015)
  • Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent (2015)
  • Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings (2014)
  • Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators (2014)
  • Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space (2014)