NIPS Proceedingsβ

Kai Yu

11 Papers

  • Communication Efficient Distributed Machine Learning with the Parameter Server (2014)
  • Deep Learning of Invariant Features via Simulated Fixations in Video (2012)
  • Deep Coding Network (2010)
  • Nonlinear Learning using Local Coordinate Coding (2009)
  • Deep Learning with Kernel Regularization for Visual Recognition (2008)
  • Stochastic Relational Models for Large-scale Dyadic Data using MCMC (2008)
  • Gaussian Process Models for Link Analysis and Transfer Learning (2007)
  • Predictive Matrix-Variate t Models (2007)
  • Stochastic Relational Models for Discriminative Link Prediction (2006)
  • Soft Clustering on Graphs (2005)
  • Learning Gaussian Process Kernels via Hierarchical Bayes (2004)