NIPS Proceedingsβ

Difan Zou

4 Papers

  • An Improved Analysis of Training Over-parameterized Deep Neural Networks (2019)
  • Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks (2019)
  • Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction (2019)
  • Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization (2018)