Fabio De Bona

Information Systems · 2010–2014

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 6 citations into it; #7,471 of 8,771 by trust here, #7,107 by citations
• Management Science and Operations Research — 6 citations into it; #10,364 of 11,946 by trust here, #8,906 by citations
• Artificial Intelligence — 5 citations into it; #30,596 of 35,345 by trust here, #29,412 by citations

Whom Fabio De Bona trusts overall

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

1. Lihong Li
2. Andreas Krause
3. Wei Chu
4. Donald Metzler

Who trusts Fabio De Bona overall

1. Ryan-Rhys Griffiths

Papers from Fabio De Bona's perspective

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

1. Finite-time Analysis of the Multiarmed Bandit Problem
2. A contextual-bandit approach to personalized news article recommendation
3. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
4. Contextual Bandits with Linear Payoff Functions
5. Multi-armed bandits in metric spaces (Symposium on the Theory of Computing)
6. Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
7. Contextual Gaussian Process Bandit Optimization
8. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Large Scale Multiple Kernel Learning

Their papers

• Explore-exploit in top-N recommender systems via Gaussian processes (2014) — 97 citations
• The SHOGUN Machine Learning Toolbox (2010) — 306 citations