Tal Wagner

2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Tal Wagner trusts

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

  1. Alexandra Chouldechova (in Safety, Robustness & Interpretability)
  2. Ron Kohavi (in Optimization & Training)

Who trusts Tal Wagner

  1. Dana Pessach (in AI Ethics, Fairness & Society)
  2. Erez Shmueli (in AI Ethics, Fairness & Society)

Papers from Tal Wagner's perspective

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

  1. A data-driven approach to predict the success of bank telemarketing
  2. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  3. Fair Clustering Through Fairlets
  4. Privacy preserving clustering with constraints
  5. Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
  6. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
  7. The Frontiers of Fairness in Machine Learning
  8. Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
  9. Fair Coresets and Streaming Algorithms for Fair k-Means Clustering
  10. Performance of Johnson-Lindenstrauss transform for k-means and k-medians clustering

Their papers