Feedback Graphs is a causal graphical model that explicitly represents cyclic dependencies among variables to capture bidirectional causal influences within a system.
27
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1.5K
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78
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43
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Publications per year
2017–2026
8
Parents
Publications
27
Online Learning with Feedback Graphs: Beyond Bandits
Noga Alon, Nicolò Cesa‐Bianchi, Ofer Dekel et al. · arXiv (Cornell University) · 2015 · 56 citations · Full text
1–5 of 27
Authors
78
- TK
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- KX
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- TL
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- DK
2
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- JA
1
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1–5 of 78
Institutions
43
Peking University
Beijing, China
2 h-index
6 publications
117 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
122 citations
Beihang University
Beijing, China
2 h-index
2 publications
39 citations
Institute of Software
Beijing, China
2 h-index
6 publications
117 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
101 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
50 citations
University of Leeds
Leeds, United Kingdom
1 h-index
1 publications
31 citations
University of Mississippi Medical Center
Jackson, United States
1 h-index
1 publications
80 citations
1–8 of 43
Venues
- Discrete Applied Mathematics
3 publications · 68 citations
3
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- Discrete Mathematics
2 publications · 29 citations
2
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- International Conference on Machine Learning
Conference · 2 publications · 38 citations
2
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- Theoretical Computer Science
2 publications · 39 citations
2
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- IEEE/ACM Transactions on Networking
TON · 1 publications · 16 citations
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