Shankar Vembu

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Shankar Vembu trusts overall

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

  1. Thorsten Joachims
  2. Bianca Zadrozny
  3. Tong Zhang
  4. J. Platt
  5. Charles Peter Elkan

Who trusts Shankar Vembu overall

  1. Sanjeev Arora
  2. Mahdi Pakdaman Naeini
  3. Lei Zhang
  4. Nadav Cohen

Papers from Shankar Vembu's perspective

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

  1. Optimizing search engines using clickthrough data
  2. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  3. Training linear SVMs in linear time
  4. Statistical behavior and consistency of classification methods based on convex risk minimization
  5. Large Margin Rank Boundaries for Ordinal Regression
  6. Predicting clicks: estimating the click-through rate for new ads (The Web Conference)
  7. ImageNet classification with deep convolutional neural networks
  8. Predicting good probabilities with supervised learning
  9. Learning and making decisions when costs and probabilities are both unknown (Knowledge Discovery and Data Mining)
  10. Gradient-based learning applied to document recognition

Their papers