NIPS Proceedingsβ

Martin Jaggi

8 Papers

  • COLA: Decentralized Linear Learning (2018)
  • Sparsified SGD with Memory (2018)
  • Training DNNs with Hybrid Block Floating Point (2018)
  • Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems (2017)
  • Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees (2017)
  • Safe Adaptive Importance Sampling (2017)
  • On the Global Linear Convergence of Frank-Wolfe Optimization Variants (2015)
  • Communication-Efficient Distributed Dual Coordinate Ascent (2014)