NIPS Proceedingsβ

Alexander J. Smola

7 Papers

  • Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization (2016)
  • Variance Reduction in Stochastic Gradient Langevin Dynamics (2016)
  • Fast and Guaranteed Tensor Decomposition via Sketching (2015)
  • On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants (2015)
  • Communication Efficient Distributed Machine Learning with the Parameter Server (2014)
  • Spectral Methods for Indian Buffet Process Inference (2014)
  • Variance Reduction for Stochastic Gradient Optimization (2013)