Stephen E. Fienberg
Stephen E. Fienberg publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Networks and Communications, on topics such as Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning and Bayesian Methods and Mixture Models.
- World rank
- #1,027,846 of 1,633,909 ranked researchers
- Rank in United States
- #268,589 of 358,040
- Works
- 21
- Citations
- 42
- Citations per work
- 2.0
What does Stephen E. Fienberg research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence37% of their works
- 2Statistics and Probability21% of their works
- 3Computer Networks and Communications10% of their works
- 4Sociology and Political Science10% of their works
- 5Water Science and Technology5% of their works
- 6Statistics, Probability and Uncertainty5% of their works
Research topics
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Bayesian Methods and Mixture Models
- Bayesian Modeling and Causal Inference
- Stochastic Gradient Optimization Techniques
- Gaussian Processes and Bayesian Inference
- Advanced Database Systems and Queries
- Peer-to-Peer Network Technologies
Which keywords describe Stephen E. Fienberg's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Bayesian Inference, Differential Privacy, Federated Learning, Neural Networks, Variational Inference and Adversarial Examples.
- Sparse Regression
- Robustness
- Peer-to-Peer
- Gaussian Processes
- Continuous Queries
- Causal Inference
- Adversarial Examples
- Neural Networks
- Differential Privacy
- Deep Learning
- Machine Learning
- Bayesian Inference
- Federated Learning
- Variational Inference
- Bayesian Networks
- Clustering
- Data Stream Management
- Mixture Models
- Random Projections
- Scalable
- Stochastic Gradient Descent
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Machine Learning43 topics
- Deep Learning33 topics
- Bayesian Inference22 topics
- Differential Privacy21 topic
- Federated Learning21 topic
- Neural Networks22 topics
- Variational Inference22 topics
- Adversarial Examples11 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Clustering11 topic
- Continuous Queries11 topic
- Data Stream Management11 topic
- Gaussian Processes11 topic
- Mixture Models11 topic
- Peer-to-Peer11 topic
- Random Projections11 topic
- Robustness11 topic
- Scalable11 topic
- Sparse Regression11 topic
- Stochastic Gradient Descent11 topic
Where does Stephen E. Fienberg work?
Stephen E. Fienberg's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Stephen E. Fienberg have?
Science Explorer counts 21 works and 42 citations for Stephen E. Fienberg, ranking #1,027,846 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Stephen E. Fienberg
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