Kunal Agrawal

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kunal Agrawal trusts overall

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

  1. Leo Breiman
  2. Geoffrey I. Webb
  3. C. Burges

Who trusts Kunal Agrawal overall

  1. Tianqi Chen

Papers from Kunal Agrawal's perspective

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

  1. Bagging Predictors
  2. Random Forests
  3. Large Margin Rank Boundaries for Ordinal Regression
  4. Learning to rank using gradient descent
  5. MultiBoosting: A Technique for Combining Boosting and Wagging (Machine-mediated learning)
  6. From RankNet to LambdaRank to LambdaMART: An Overview
  7. Yahoo! Learning to Rank Challenge Overview
  8. Stochastic gradient boosted distributed decision trees
  9. PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce
  10. The Nature of Statistical Learning Theory

Their papers