NIPS Proceedingsβ

Christopher M. De Sa

9 Papers

  • Channel Gating Neural Networks (2019)
  • Dimension-Free Bounds for Low-Precision Training (2019)
  • Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models (2019)
  • Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees (2019)
  • Gaussian Quadrature for Kernel Features (2017)
  • Data Programming: Creating Large Training Sets, Quickly (2016)
  • Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much (2016)
  • Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width (2015)
  • Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms (2015)