Evelyne Viegas

Artificial Intelligence · 2015–2019

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

Subfields

Whom Evelyne Viegas trusts

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

  1. Frank Hutter (in Artificial Intelligence)
  2. Jerome H. Friedman (in Artificial Intelligence)
  3. Kevin Leyton-Brown (in Artificial Intelligence)
  4. Holger H. Hoos (in Artificial Intelligence)

Who trusts Evelyne Viegas

  1. Marco F. Huber (in Artificial Intelligence)
  2. Marc-André Zöller (in Artificial Intelligence)
  3. Frank Hutter (in Artificial Intelligence)
  4. Matthias Feurer (in Artificial Intelligence)

Papers from Evelyne Viegas's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Random Forests
  3. Algorithms for Hyper-Parameter Optimization
  4. Random Search for Hyper-Parameter Optimization
  5. Representation Learning: A Review and New Perspectives
  6. Neural Architecture Search with Reinforcement Learning
  7. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  8. Greedy function approximation: A gradient boosting machine.
  9. No more pesky learning rates
  10. Statistical learning theory

Their papers