NIPS Proceedingsβ

Yingyu Liang

10 Papers

  • Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers (2019)
  • N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules (2019)
  • Robust Attribution Regularization (2019)
  • Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data (2018)
  • 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)