Marie Chau

Optimization & Training · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marie Chau trusts overall

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

  1. Saeed Ghadimi
  2. Guanghui Lan
  3. Anatoli B. Juditsky
  4. J. Kiefer
  5. James C. Spall
  6. David Ruppert
  7. J. Sacks
  8. Harold J. Kushner
  9. Boris Polyak
  10. Arkadi Nemirovski

Papers from Marie Chau's perspective

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

  1. Stochastic Approximation approach to Stochastic Programming
  2. A Stochastic Approximation Method
  3. Acceleration of stochastic approximation by averaging
  4. Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms
  5. Stochastic Approximation and Recursive Algorithms and Applications
  6. Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework
  7. Stochastic Estimation of the Maximum of a Regression Function
  8. Efficient Estimations from a Slowly Convergent Robbins-Monro Process
  9. Accelerated Stochastic Approximation
  10. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation

Their papers