Nader H. Bshouty

Statistical Learning Theory · 1995–1999

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nader H. Bshouty trusts overall

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

  1. Leslie G. Valiant
  2. Nicholas I. Fisher
  3. Michael Kearns
  4. Avrim Blum
  5. Pranab Kumar Sen
  6. Merrick L. Furst

Who trusts Nader H. Bshouty overall

  1. Roni Khardon
  2. Saeed Mahloujifar
  3. Dan Roth
  4. Nikola Konstantinov
  5. Huang Xiao
  6. Mohammad Mahmoody
  7. Battista Biggio
  8. Elias Frantar
  9. Blaine Nelson
  10. Marius Kloft

Papers from Nader H. Bshouty's perspective

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

  1. A theory of the learnable
  2. Probability Inequalities for Sums of Bounded Random Variables
  3. Learning in the presence of malicious errors
  4. Learning Disjunction of Conjunctions
  5. Weakly learning DNF and characterizing statistical query learning using Fourier analysis
  6. Toward efficient agnostic learning
  7. On the Density of Families of Sets
  8. Learning Regular Sets from Queries and Counterexamples
  9. Pattern classification and scene analysis
  10. Learning decision trees using the Fourier spectrum

Their papers