Shekoofeh Mokhtari

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Management Science and Operations Research — 11 citations into it
• Information Systems — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Shekoofeh Mokhtari trusts overall

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

1. Lihong Li
2. Liang Tang
3. J. Langford
4. Wei Chu
5. Olivier Chapelle
6. Shipra Agrawal

Papers from Shekoofeh Mokhtari's perspective

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

1. A contextual-bandit approach to personalized news article recommendation
2. An Empirical Evaluation of Thompson Sampling
3. Some aspects of the sequential design of experiments
4. The Nonstochastic Multiarmed Bandit Problem
5. The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
6. Explore/Exploit Schemes for Web Content Optimization
7. Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
8. Personalized recommendation on dynamic content using predictive bilinear models
9. Thompson Sampling for Contextual Bandits with Linear Payoffs
10. Learning diverse rankings with multi-armed bandits

Their papers

• Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit (2016) — 154 citations