Nishanth Mundru

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nishanth Mundru trusts overall

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

  1. Leo Breiman
  2. Nathan Kallus
  3. Jack Dunn
  4. Jennifer L. Hill
  5. Trevor J. Hastie
  6. Hui Zou
  7. Alexander Goldenshluger

Who trusts Nishanth Mundru overall

  1. Vinícius G. Costa

Papers from Nishanth Mundru's perspective

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

  1. A contextual-bandit approach to personalized news article recommendation
  2. Addendum: Regularization and variable selection via the elastic net
  3. Random Forests
  4. Multi-armed Bandit Allocation Indices
  5. Points of Significance: Classification and regression trees
  6. Bayesian Nonparametric Modeling for Causal Inference
  7. A Linear Response Bandit Problem
  8. Journal of the American Statistical Association Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery Using Mixed Integer Programming for Matching in…
  9. Recursive Partitioning for Personalization using Observational Data
  10. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Their papers