Haider Al-Lawati

Optimization & Training · 2020

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 Haider Al-Lawati trusts overall

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

  1. Yurii E. Nesterov
  2. Lin Xiao
  3. Konstantinos I. Tsianos
  4. Barry C. Arnold
  5. Dimitris J. Bertsimas
  6. Ofer Dekel

Papers from Haider Al-Lawati's perspective

Ordered by how strongly the researchers Haider Al-Lawati trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
  2. Large Scale Distributed Deep Networks
  3. Parallelized Stochastic Gradient Descent
  4. Primal-dual subgradient methods for convex problems
  5. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  6. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
  7. An asynchronous parallel stochastic coordinate descent algorithm
  8. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
  9. Optimal Distributed Online Prediction Using Mini-Batches
  10. Revisiting Distributed Synchronous SGD

Their papers