Amel Bouzeghoub
Artificial Intelligence · 2012–2017
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Management Science and Operations Research — 5 citations into it
- Reinforcement Learning — 5 citations into it
Whom Amel Bouzeghoub trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Amel Bouzeghoub overall
Papers from Amel Bouzeghoub's perspective
Ordered by how strongly the researchers Amel Bouzeghoub trusts endorse each paper. Same corpus, a different order for every researcher.
- Some aspects of the sequential design of experiments
- Learning from delayed rewards
- The Epoch-Greedy algorithm for contextual multi-armed bandits
- PAC Bounds for Multi-armed Bandit and Markov Decision Processes (Annual Conference Computational Learning Theory)
- The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (Journal of machine learning research)
- Verb Semantics and Lexical Selection
- Context-aware recommender systems
- A diary study of mobile information needs (International Conference on Human Factors in Computing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- A Causal Multi-armed Bandit Approach for Domestic Robots' Failure Avoidance (2017) — 3 citations
- A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System (2012) — 150 citations