NIPS Proceedingsβ

Shou-De Lin

4 Papers

  • MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization (2018)
  • PRUNE: Preserving Proximity and Global Ranking for Network Embedding (2017)
  • A Dual Augmented Block Minimization Framework for Learning with Limited Memory (2015)
  • Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space (2014)