Michela Meister

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michela Meister trusts overall

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

  1. Moses Charikar
  2. Jacob Steinhardt
  3. David Haussler
  4. Gregory Valiant
  5. Ilias Diakonikolas
  6. Frank Hampel
  7. Pravesh Kothari
  8. Daniel M. Kane
  9. E.J. Candes
  10. Elvezio Ronchetti

Who trusts Michela Meister overall

  1. Jacob Steinhardt
  2. Mingda Qiao
  3. Jerry Zheng Li

Papers from Michela Meister's perspective

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

  1. Learning from untrusted data
  2. Agnostic Estimation of Mean and Covariance
  3. Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
  4. Robust Estimators in High Dimensions without the Computational Intractability
  5. A survey of sampling from contaminated distributions
  6. Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
  7. Robust statistics: the approach based on influence functions
  8. Better Agnostic Clustering Via Relaxed Tensor Norms
  9. List-decodable robust mean estimation and learning mixtures of spherical gaussians
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers