Hansa Srinivasan

Artificial Intelligence · with Atwood · 2020

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

Subfields

• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 6 citations into it

Whom Hansa Srinivasan trusts overall

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

1. Sebastian Thrun
2. Richard S. Sutton
3. Moritz Hardt
4. Matthew Joseph
5. Faisal Kamiran

Who trusts Hansa Srinivasan overall

1. Angelina Wang

Papers from Hansa Srinivasan's perspective

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

1. Equality of Opportunity in Supervised Learning
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. Fairness in Learning: Classic and Contextual Bandits
5. Delayed Impact of Fair Machine Learning
6. Classifying without discriminating
7. Fairness in Reinforcement Learning
8. The Social Cost of Strategic Classification
9. Stackelberg games for adversarial prediction problems
10. Dopamine: A Research Framework for Deep Reinforcement Learning

Their papers

• Fairness is not static: deeper understanding of long term fairness via simulation studies (2020) — 264 citations