Dean P. Foster

106 papers receiving 4.3k citations

Hit Papers

Stochastic evolutionary game dynamics∗19902026200220141990200400600

Peers

Dean P. Foster
Comparison fields: 5 of 170
  • Management Science and Operations Research 1.6k
  • Artificial Intelligence 1.5k
  • Economics and Econometrics 858
  • Sociology and Political Science 606
  • Information Systems 526
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Citations per year

Countries citing papers authored by Dean P. Foster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dean P. Foster

This figure shows the co-authorship network connecting the top 25 collaborators of Dean P. Foster. A scholar is included among the top collaborators of Dean P. 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 Dean P. Foster. Dean P. Foster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
The Benefits of Implicit Regularization from SGD in Least Squares Problems
1
3
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
2
4
Impartial Predictive Modeling: Ensuring Fairness in Arbitrary Models
11
5 3
6
Spectral learning of latent-variable PCFGs: algorithms and sample complexity
13
7
{A Level-set Hit-and-run Sampler for Quasi-Concave Distributions}
1
8 1
9 21
10
Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
9
11
New Insights from Coarse Word Sense Disambiguation in the Crowd
8
12
Spectral Learning of Latent-Variable PCFGs
11
13
Using CCA to improve CCA: A new spectral method for estimating vector models of words.
2
14
Domain Adaptation with Coupled Subspaces
62
15 13
16
Feature Selection using Multiple Streams
6
17
Unsupervised Distance Metric Learning Using Predictability
1
18 101
19
Clustering Methods for Collaborative Filtering
407
20
Filtering and Forecasting with Misspecified Arch Models Ii: Making the Right Forecast with the Wrong Model
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) and Topic Modeling (11 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and The Quarterly Journal of Economics.

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.

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