Dylan J. Foster
About
In The Last Decade
Dylan J. Foster
17 papers receiving 83 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 54
- Management Science and Operations Research 33
- Computational Mechanics 24
- Computer Networks and Communications 13
- Electrical and Electronic Engineering 12
Countries citing papers authored by Dylan J. Foster
This map shows the geographic impact of Dylan J. Foster's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dylan J. Foster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan J. Foster more than expected).
Fields of papers citing papers by Dylan J. Foster
This network shows the impact of papers produced by Dylan J. Foster. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dylan J. Foster. The network helps show where Dylan J. Foster may publish in the future.
Co-authorship network of co-authors of Dylan J. Foster
This figure shows the co-authorship network connecting the top 25 collaborators of Dylan J. Foster. A scholar is included among the top collaborators of Dylan J. Foster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dylan J. Foster. Dylan J. Foster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 35 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | Open Problem: Model Selection for Contextual Bandits | 1 |
| 8 | 1 | |
| 9 | Model Selection for Contextual Bandits | 1 |
| 10 | Statistical Learning with a Nuisance Component | 2 |
| 11 | Hypothesis Set Stability and Generalization | 2 |
| 12 | 𝓁 ∞ Vector Contraction for Rademacher Complexity. | 2 |
| 13 | 6 | |
| 14 | Logistic Regression: The Importance of Being Improper. | 7 |
| 15 | Practical Contextual Bandits with Regression Oracles | 10 |
| 16 | Parameter-Free Online Learning via Model Selection | 2 |
| 17 | 1 | |
| 18 | Learning in Games: Robustness of Fast Convergence | 3 |
| 19 | 6 | |
| 20 | 0 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.