Lydia T. Liu
Safety, Robustness & Interpretability · 2018
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Safety, Robustness & Interpretability — 20 citations into it
- Artificial Intelligence — 12 citations into it
- Safety Research — 9 citations into it
- Sociology and Political Science — 7 citations into it
- Statistics and Probability — 7 citations into it
Whom Lydia T. Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandra Chouldechova
- Moritz Hardt
- Alexandru Niculescu-Mizil
- Julia Dressel
- Geoff Pleiss
- Jon M. Kleinberg
- Manish Raghavan
- Vladimir Naumovich Vapnik
- R. Caruana
- Sam Corbett-Davies
Who trusts Lydia T. Liu overall
- Shira Mitchell
- Donald Martin
- Songül Tolan
- Solon Barocas
- Marius Miron
- Cynthia Dwork
- Vinodkumar Prabhakaran
- Alexandra Chouldechova
- Eric Potash
- Aaron Roth
Papers from Lydia T. Liu's perspective
Ordered by how strongly the researchers Lydia T. Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Equality of Opportunity in Supervised Learning
- Gradient-based learning applied to document recognition
- Fairness through awareness
- Learning Multiple Layers of Features from Tiny Images
- Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
- Certifying and Removing Disparate Impact
- Inherent Trade-Offs in the Fair Determination of Risk Scores
- ImageNet: A large-scale hierarchical image database
Their papers
- Delayed Impact of Fair Machine Learning (2018) — 534 citations
- The Implicit Fairness Criterion of Unconstrained Learning (2018) — 97 citations