Michael I. Jordan
Michael I. Jordan publishes mostly in Artificial Intelligence, Statistics and Probability and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques and Statistical Methods and Inference.
- World rank
- #5,436 of 1,633,909 ranked researchers
- Rank in United States
- #2,595 of 358,040
- Works
- 288
- Citations
- 4.8k
- Citations per work
- 16.6
What does Michael I. Jordan research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence34% of their works
- 2Statistics and Probability10% of their works
- 3Computational Mechanics5% of their works
- 4Management Science and Operations Research5% of their works
- 5Control and Systems Engineering4% of their works
- 6Computer Vision and Pattern Recognition4% of their works
Research topics
Which keywords describe Michael I. Jordan's research?
The keywords of their largest research topics: Convex Optimization, Deep Learning, Semi-Supervised Learning, Gaussian Processes, Machine Learning, Bayesian Inference, Variational Inference and Random Projections.
- Probabilistic Models
- Domain Adaptation
- Clustering
- Bandit Optimization
- Active Learning
- Sparse Representation
- Compressed Sensing
- Random Projections
- Bayesian Inference
- Gaussian Processes
- Deep Learning
- Convex Optimization
- Semi-Supervised Learning
- Machine Learning
- Variational Inference
- Stochastic Gradient Descent
- Regularization
- Variable Selection
- Image Classification
- Bayesian Optimization
- Mixture Models
- Transfer Learning
- Sparse Regression
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 23 words, with their numbers
- Convex Optimization503 topics
- Deep Learning443 topics
- Semi-Supervised Learning262 topics
- Gaussian Processes252 topics
- Machine Learning252 topics
- Bayesian Inference232 topics
- Variational Inference232 topics
- Random Projections191 topic
- Stochastic Gradient Descent191 topic
- Compressed Sensing181 topic
- Regularization181 topic
- Sparse Representation181 topic
- Variable Selection181 topic
- Active Learning151 topic
- Image Classification151 topic
- Bandit Optimization131 topic
- Bayesian Optimization131 topic
- Clustering131 topic
- Mixture Models131 topic
- Domain Adaptation111 topic
- Transfer Learning111 topic
- Probabilistic Models101 topic
- Sparse Regression101 topic
Where does Michael I. Jordan work?
Michael I. Jordan's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Michael I. Jordan have?
Science Explorer counts 288 works and 4,794 citations for Michael I. Jordan, ranking #5,436 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.