NIPS Proceedingsβ

Cho-Jui Hsieh

9 Papers

  • A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order (2016)
  • Asynchronous Parallel Greedy Coordinate Descent (2016)
  • Matrix Completion with Noisy Side Information (2015)
  • Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent (2015)
  • Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings (2014)
  • Fast Prediction for Large-Scale Kernel Machines (2014)
  • QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models (2014)
  • BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables (2013)
  • Large Scale Distributed Sparse Precision Estimation (2013)