Yang Zhou

Optimization & Training · with Jin · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Zhou trusts overall

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

  1. Francis R. Bach
  2. Arkadi Nemirovski

Who trusts Yang Zhou overall

  1. Ata Kabán
  2. Jakramate Bootkrajang

Papers from Yang Zhou's perspective

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

  1. A Stochastic Approximation Method
  2. Learning the Kernel Matrix with Semidefinite Programming
  3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  4. Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
  5. Consistency of the group Lasso and multiple kernel learning (Journal of machine learning research)
  6. EFFICIENT METHODS IN CONVEX PROGRAMMING
  7. L2 Regularization for Learning Kernels (Conference on Uncertainty in Artificial Intelligence)
  8. On Kernel-Target Alignment (Neural Information Processing Systems)
  9. Multiple kernel learning, conic duality, and the SMO algorithm
  10. Efficient and Accurate Lp-Norm Multiple Kernel Learning

Their papers