NIPS Proceedingsβ

Nati Srebro

9 Papers

  • Path-SGD: Path-Normalized Optimization in Deep Neural Networks (2015)
  • Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm (2014)
  • Auditing: Active Learning with Outcome-Dependent Query Costs (2013)
  • Stochastic Optimization of PCA with Capped MSG (2013)
  • The Power of Asymmetry in Binary Hashing (2013)
  • Beating SGD: Learning SVMs in Sublinear Time (2011)
  • Better Mini-Batch Algorithms via Accelerated Gradient Methods (2011)
  • Learning with the weighted trace-norm under arbitrary sampling distributions (2011)
  • On the Universality of Online Mirror Descent (2011)