Justin M. Rao
Sociology and Political Science · with Goel · 2011–2017
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 39 citations into it; #3,170 of 22,756 by trust here, #5,224 by citations
- Information Systems — 25 citations into it
- Artificial Intelligence — 22 citations into it
- Communication — 14 citations into it
- Economics and Econometrics — 12 citations into it
- Statistics and Probability — 12 citations into it
- Management Science and Operations Research — 10 citations into it
- Marketing — 10 citations into it
Whom Justin M. Rao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Richard A. Berk
- Jelle J. Goeman
- Matthew Gentzkow
- Don A. Moore
- B. Kőszegi
- Greg Ridgeway
- Jesse M. Shapiro
- Dong C. Liu
- Winter A. Mason
Who trusts Justin M. Rao overall
- Susan Athey
- Alexander Coutts
- Rebecca Dizon-Ross
- Sam Corbett-Davies
- George Loewenstein
- Sharad Goel
- Muhammad Bilal Zafar
- Berk Ustun
- Russell Golman
- Nathan Kallus
Papers from Justin M. Rao's perspective
Ordered by how strongly the researchers Justin M. Rao trusts endorse each paper. Same corpus, a different order for every researcher.
- Latent Dirichlet Allocation
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Large-Scale Machine Learning with Stochastic Gradient Descent
- Regression Shrinkage and Selection via the Lasso
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Precinct or Prejudice? Understanding Racial Disparities in New York City's Stop-and-Frisk Policy (2016) — 252 citations
- Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis (2016) — 327 citations
- Personalized risk assessments in the criminal justice system (2016) — 23 citations
- Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017) — 63 citations
- Filter Bubbles, Echo Chambers, and Online News Consumption (2016)
- The Good News-Bad News Effect: Asymmetric Processing of Objective Information about Yourself (2011) — 640 citations