C. Zhu

Optimization & Training · with Byrd · 1995–1997

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 83 researchers here, as inferred from the citation graph.

Subfields

Whom C. Zhu trusts overall

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

  1. Jorge Nocedal
  2. Richard H. Byrd
  3. Boris Polyak
  4. Bobby Schnabel
  5. Andrew R. Conn

Who trusts C. Zhu overall

  1. Leon A. Gatys
  2. Alexander S. Ecker
  3. Xin Deng
  4. Matthew Richardson
  5. Chengping Rao
  6. Yarin Gal
  7. Matthias Bethge
  8. Aravindh Mahendran
  9. Sebastian Nowozin
  10. Yang Song

Papers from C. Zhu's perspective

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

  1. Representations of quasi-Newton matrices and their use in limited memory methods
  2. Constrained minimization methods
  3. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization
  4. On the limited memory BFGS method for large scale optimization
  5. The solution of nonlinear finite element equations
  6. Newton-Type Minimization via the Lanczos Method
  7. INEXACT NEWTON METHODS
  8. A trust region method based on interior point techniques for nonlinear programming (Mathematical programming)
  9. Deep learning via Hessian-free optimization
  10. A Stochastic Approximation Method

Their papers