Caroline Linjun Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Caroline Linjun Wang trusts overall

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

  1. Tianqi Chen
  2. Andy Liaw
  3. Cynthia Rudin
  4. Sarah Tan

Who trusts Caroline Linjun Wang overall

  1. Cynthia Rudin
  2. Aida Sharif Rohani
  3. Amanda Coston
  4. Beau Coker

Papers from Caroline Linjun Wang's perspective

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

  1. XGBoost: A Scalable Tree Boosting System
  2. Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
  3. Classification and Regression by randomForest
  4. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  5. Fairness in Criminal Justice Risk Assessments: The State of the Art
  6. Algorithmic risk assessments and the double-edged sword of youth.
  7. Case Report: Reducing Errors from the Electronic Transcription of Data Collected on Paper Forms: A Research Data Case Study
  8. Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the "Rashomon" Perspective
  9. Transparency and Algorithmic Governance
  10. Sentencing Guidelines and Judicial Discretion: Quasi‐Experimental Evidence from Human Calculation Errors

Their papers