Nathan Srebro
Nathan Srebro publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques and Stochastic Gradient Optimization Techniques.
- World rank
- #24,204 of 1,633,909 ranked researchers
- Rank in United States
- #11,359 of 358,040
- Works
- 74
- Citations
- 1.1k
- Citations per work
- 15.2
What does Nathan Srebro research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence45% of their works
- 2Computer Vision and Pattern Recognition14% of their works
- 3Computational Mechanics8% of their works
- 4Statistics and Probability6% of their works
- 5Management Science and Operations Research5% of their works
- 6Computer Networks and Communications5% of their works
Research topics
Which keywords describe Nathan Srebro's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Semi-Supervised Learning, Sparse Representation, Active Learning, Machine Learning, Neural Networks and Compressed Sensing.
- Self-Organizing Maps
- Bayesian Optimization
- Backpropagation Learning
- Regularization
- Dimensionality Reduction
- Random Projections
- Compressed Sensing
- Machine Learning
- Sparse Representation
- Convex Optimization
- Deep Learning
- Semi-Supervised Learning
- Active Learning
- Neural Networks
- Signal Recovery
- Stochastic Gradient Descent
- Face Recognition
- Variable Selection
- Bandit Optimization
- Domain Adaptation
- Transfer Learning
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
- Deep Learning223 topics
- Convex Optimization193 topics
- Semi-Supervised Learning152 topics
- Sparse Representation142 topics
- Active Learning111 topic
- Machine Learning111 topic
- Neural Networks112 topics
- Compressed Sensing81 topic
- Signal Recovery81 topic
- Random Projections71 topic
- Stochastic Gradient Descent71 topic
- Dimensionality Reduction61 topic
- Face Recognition61 topic
- Regularization51 topic
- Variable Selection51 topic
- Backpropagation Learning41 topic
- Bandit Optimization41 topic
- Bayesian Optimization41 topic
- Domain Adaptation41 topic
- Self-Organizing Maps41 topic
- Transfer Learning41 topic
Where does Nathan Srebro work?
Nathan Srebro's main affiliation in the publication record is Toyota Technological Institute at Chicago, United States.
How many publications and citations does Nathan Srebro have?
Science Explorer counts 74 works and 1,123 citations for Nathan Srebro, ranking #24,204 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.