Subhonmesh Bose

Management Science and Operations Research · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Subhonmesh Bose trusts overall

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

  1. Rie Johnson
  2. Hao Yu
  3. Tong Zhang
  4. David O. Siegmund

Papers from Subhonmesh Bose's perspective

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

  1. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
  2. Trading regret for efficiency: online convex optimization with long term constraints (Journal of machine learning research)
  3. A Convergence Theorem for Non Negative Almost Supermartingales and Some Applications
  4. Online Convex Optimization with Stochastic Constraints
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers