NIPS Proceedingsβ

Yingyu Liang

6 Papers

  • Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates (2016)
  • Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients (2015)
  • Improved Distributed Principal Component Analysis (2014)
  • Learning Time-Varying Coverage Functions (2014)
  • Scalable Kernel Methods via Doubly Stochastic Gradients (2014)
  • Distributed $k$-means and $k$-median Clustering on General Topologies (2013)