Nuwan S. Ferdinand

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 Nuwan S. Ferdinand 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
  7. Michael G. Rabbat
  8. John C. Duchi
  9. Angelia Nedić
  10. Karthik Natarajan

Who trusts Nuwan S. Ferdinand overall

  1. Jianyu Wang

Papers from Nuwan S. Ferdinand's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Large Scale Distributed Deep Networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
  6. Parallelized Stochastic Gradient Descent
  7. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  8. Learning Multiple Layers of Features from Tiny Images
  9. Primal-dual subgradient methods for convex problems
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers