Dean P. Foster
- General Decision Sciences top 1%
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- Game Theory and Applications 12
- Advanced Bandit Algorithms Research 10
- Computational Mathematics top 5%
- Statistics and Probability top 1%
- Statistical Methods and Inference 11
- Safety Research top 1%
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- Machine Learning and Algorithms 13
- Topic Modeling 11
- Natural Language Processing Techniques 8
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- Economic theories and models 9
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- Stochastic processes and financial applications 8
Dean P. Foster
106 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- General Decision Sciences 279
- Management Science and Operations Research 1.6k
- Computational Mathematics 40
- Statistics and Probability 434
- Safety Research 413
Countries citing papers authored by Dean P. Foster
This map shows the geographic impact of Dean P. 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 Dean P. Foster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean P. Foster more than expected).
Fields of papers citing papers by Dean P. Foster
This network shows the impact of papers produced by Dean P. 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 Dean P. Foster. The network helps show where Dean P. Foster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dean P. Foster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | The Benefits of Implicit Regularization from SGD in Least Squares Problems | 2021 | 1 |
| 3 | PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing | 2020 | 2 |
| 4 | Impartial Predictive Modeling: Ensuring Fairness in Arbitrary Models | 2016 | 11 |
| 5 | 2014 | 3 | |
| 6 | Spectral learning of latent-variable PCFGs: algorithms and sample complexity | 2014 | 13 |
| 7 | {A Level-set Hit-and-run Sampler for Quasi-Concave Distributions} | 2014 | 1 |
| 8 | 2014 | 1 | |
| 9 | 2013 | 21 | |
| 10 | Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation | 2012 | 9 |
| 11 | New Insights from Coarse Word Sense Disambiguation in the Crowd | 2012 | 8 |
| 12 | Spectral Learning of Latent-Variable PCFGs | 2012 | 11 |
| 13 | Using CCA to improve CCA: A new spectral method for estimating vector models of words. | 2012 | 2 |
| 14 | Domain Adaptation with Coupled Subspaces | 2011 | 62 |
| 15 | 2011 | 13 | |
| 16 | Feature Selection using Multiple Streams | 2010 | 6 |
| 17 | Unsupervised Distance Metric Learning Using Predictability | 2008 | 1 |
| 18 | 2006 | 101 | |
| 19 | Clustering Methods for Collaborative Filtering | 1998 | 407 |
| 20 | Filtering and Forecasting with Misspecified Arch Models Ii: Making the Right Forecast with the Wrong Model | 1992 | 3 |
About Dean P. Foster
Dean P. Foster is a scholar working on General Decision Sciences, Management Science and Operations Research and Statistics and Probability, having authored 110 papers that have together received 4.7k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (13 papers), Game Theory and Applications (12 papers), Topic Modeling (11 papers), Statistical Methods and Inference (11 papers), Advanced Bandit Algorithms Research (10 papers), Economic theories and models (9 papers), Stochastic processes and financial applications (8 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in General Decision Sciences (279 citations), Management Science and Operations Research (1.6k citations) and Computational Mathematics (40 citations). Dean P. Foster has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Lyle Ungar, Peyton Young, Rakesh Vohra, Robert A. Stine, Edward I. George, Ilan Yaniv, H. Peyton Young, Paramveer S. Dhillon, Sham M. Kakade and Daniel B. Nelson.
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.