Hugues Bouchard

Management Science and Operations Research · 2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 15 citations into it
• Statistics and Probability — 6 citations into it

Whom Hugues Bouchard trusts overall

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

1. Donald B. Rubin
2. Lihong Li

Papers from Hugues Bouchard's perspective

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

1. Reinforcement Learning: An Introduction
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. Doubly Robust Policy Evaluation and Learning
4. A contextual-bandit approach to personalized news article recommendation
5. Fairness through awareness
6. A Generalization of Sampling Without Replacement from a Finite Universe
7. Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
8. Learning diverse rankings with multi-armed bandits
9. Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
10. Bayesian Inference for Causal Effects: The Role of Randomization

Their papers

• Explore, exploit, and explain: personalizing explainable recommendations with bandits (2018) — 185 citations
• Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems (2018) — 323 citations