Parikshit Gopalan

Artificial Intelligence · 2008–2018

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Parikshit Gopalan trusts overall

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

  1. Martin A. Zinkevich
  2. Leslie G. Valiant
  3. Adam Tauman Kalai
  4. Michael Kearns
  5. Adam R. Klivans
  6. Robert E. Schapire
  7. Yoav Freund
  8. Abraham D. Flaxman
  9. David Haussler
  10. Jeffrey C. Jackson

Who trusts Parikshit Gopalan overall

  1. Vitaly Feldman
  2. Surbhi Goel
  3. Dimitris Papailiopoulos
  4. Guy Blanc
  5. Ankit Singh Rawat
  6. Zhiying Wang
  7. A. Dimakis
  8. Adam R. Klivans
  9. Hua Sun
  10. Jane Lange

Papers from Parikshit Gopalan's perspective

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

  1. A theory of the learnable
  2. The Strength of Weak Learnability
  3. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
  4. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
  5. Learning in the presence of malicious errors
  6. An improved boosting algorithm and its implications on learning complexity
  7. Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications
  8. On the learnability of Boolean formulae
  9. Toward efficient agnostic learning
  10. Efficient noise-tolerant learning from statistical queries

Their papers