Elena Grigorescu

Statistical Learning Theory · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Elena Grigorescu trusts overall

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

  1. Leslie G. Valiant
  2. Michael Kearns
  3. Vladimir Naumovich Vapnik
  4. Frank McSherry
  5. Peter L. Bartlett
  6. Jacob Steinhardt
  7. Arthur P. Dempster
  8. Avrim Blum

Who trusts Elena Grigorescu overall

  1. Ilias Diakonikolas
  2. Vitaly Feldman
  3. Jayadev Acharya
  4. Yanjun Han
  5. Jacob Steinhardt
  6. Sébastien Bubeck

Papers from Elena Grigorescu's perspective

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

  1. Efficient noise-tolerant learning from statistical queries
  2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  3. Spectral partitioning of random graphs (Proceedings IEEE International Conference on Cluster Computing)
  4. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  5. A theory of the learnable
  6. Weakly learning DNF and characterizing statistical query learning using Fourier analysis
  7. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
  8. Information-theoretic lower bounds for distributed statistical estimation with communication constraints
  9. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  10. Some optimal inapproximability results

Their papers