Alex Slivkins

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Management Science and Operations Research — 14 citations into it
• Reinforcement Learning — 11 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Information Systems — 5 citations into it

Whom Alex Slivkins trusts overall

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

1. Alexandra Chouldechova
2. Lihong Li
3. Moritz Hardt
4. Wei Chu
5. L. Elisa Celis
6. J. Langford
7. Jon M. Kleinberg
8. Cynthia Dwork

Papers from Alex Slivkins's perspective

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

1. Reinforcement Learning: An Introduction
2. Equality of Opportunity in Supervised Learning
3. Fairness through awareness
4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
5. Inherent Trade-Offs in the Fair Determination of Risk Scores
6. Doubly Robust Policy Evaluation and Learning
7. A contextual-bandit approach to personalized news article recommendation
8. ImageNet classification with deep convolutional neural networks
9. Fairness in Learning: Classic and Contextual Bandits
10. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES

Their papers

• The Unfair Externalities of Exploration (2017)
• Making Contextual Decisions with Low Technical Debt (2016) — 122 citations