Vijay Kamble

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Safety Research — 8 citations into it
• AI Ethics, Fairness & Society — 6 citations into it
• Reinforcement Learning — 5 citations into it

Whom Vijay Kamble trusts overall

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

1. Tor Lattimore
2. Matthew Joseph
3. Michael Kearns
4. Alexandra Chouldechova
5. Moritz Hardt
6. Csaba Szepesvari
7. Latanya Sweeney

Papers from Vijay Kamble's perspective

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

1. Fairness through awareness
2. Equality of Opportunity in Supervised Learning
3. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
4. Discrimination-aware data mining
5. Fairness in Learning: Classic and Contextual Bandits
6. Fairness-aware Learning through Regularization Approach
7. Learning Fair Representations
8. Classifying without discriminating
9. Discrimination in online ad delivery
10. Online Learning with an Unknown Fairness Metric

Their papers

• Individual Fairness in Hindsight (2018) — 68 citations