Max D. M. Leiserson

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #30,792 of 35,345 by trust here, #24,417 by citations
• Safety, Robustness & Interpretability — 9 citations into it
• Safety Research — 5 citations into it; #4,669 of 5,829 by trust here, #3,512 by citations

Whom Max D. M. Leiserson trusts overall

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

1. Alexandra Chouldechova
2. Richard A. Berk

Who trusts Max D. M. Leiserson overall

1. Harini Suresh
2. John V. Guttag

Papers from Max D. M. Leiserson's perspective

Ordered by how strongly the researchers Max D. M. Leiserson trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Fairness through awareness
4. Equality of Opportunity in Supervised Learning
5. Discrimination-aware data mining
6. Certifying and Removing Disparate Impact
7. Fairness-aware Learning through Regularization Approach
8. Learning Fair Representations
9. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
10. Fair Inference on Outcomes

Their papers

• Decoupled classifiers for fair and efficient machine learning (2017) — 44 citations
• Multi-platform analysis of 12 cancer types reveals molecular classification within and across tissues-of-origin (2014) — 1,400 citations