Shushu Zhang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shushu Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ahmed Khaled
  2. Peter Richtárik
  3. Hilal Asi

Papers from Shushu Zhang's perspective

Ordered by how strongly the researchers Shushu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions
  2. Better Theory for SGD in the Nonconvex World
  3. Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity
  4. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
  5. Regression Shrinkage and Selection via the Lasso
  6. Stochastic Approximation approach to Stochastic Programming
  7. Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
  8. A Stochastic Approximation Method
  9. Optimization Methods for Large-Scale Machine Learning
  10. LIBSVM: A library for support vector machines

Their papers