Ryan J. Tibshirani
Ryan J. Tibshirani publishes mostly in Statistics and Probability, Artificial Intelligence and Computational Mechanics, on topics such as Statistical Methods and Inference, Advanced Statistical Methods and Models and Sparse and Compressive Sensing Techniques.
- World rank
- #16,811 of 1,633,909 ranked researchers
- Rank in United States
- #8,005 of 358,040
- Works
- 41
- Citations
- 2.1k
- Citations per work
- 52.1
What does Ryan J. Tibshirani research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability32% of their works
- 2Artificial Intelligence23% of their works
- 3Computational Mechanics8% of their works
- 4Computational Theory and Mathematics3% of their works
- 5Management Science and Operations Research3% of their works
- 6Statistics, Probability and Uncertainty3% of their works
Research topics
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Sparse and Compressive Sensing Techniques
- Gaussian Processes and Bayesian Inference
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Stochastic Gradient Optimization Techniques
- Probabilistic and Robust Engineering Design
Which keywords describe Ryan J. Tibshirani's research?
The keywords of their largest research topics: Regularization, Variable Selection, Deep Learning, Convex Optimization, Machine Learning, Multicollinearity, Regression Analysis and Compressed Sensing.
- Uncertainty Quantification
- Sensitivity Analysis
- Random Projections
- Hyperparameter Optimization
- Variational Inference
- Sparse Representation
- Compressed Sensing
- Multicollinearity
- Convex Optimization
- Variable Selection
- Regularization
- Deep Learning
- Machine Learning
- Regression Analysis
- Neural Networks
- Gaussian Processes
- Adversarial Examples
- Noisy Labels
- Robustness
- 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 20 words, with their numbers
- Regularization111 topic
- Variable Selection111 topic
- Deep Learning73 topics
- Convex Optimization62 topics
- Machine Learning52 topics
- Multicollinearity51 topic
- Regression Analysis51 topic
- Compressed Sensing41 topic
- Neural Networks42 topics
- Sparse Representation41 topic
- Gaussian Processes31 topic
- Variational Inference31 topic
- Adversarial Examples21 topic
- Hyperparameter Optimization21 topic
- Noisy Labels21 topic
- Random Projections21 topic
- Robustness21 topic
- Sensitivity Analysis21 topic
- Stochastic Gradient Descent21 topic
- Uncertainty Quantification21 topic
Where does Ryan J. Tibshirani work?
Ryan J. Tibshirani's main affiliation in the publication record is Carnegie Mellon University, United States.
How many publications and citations does Ryan J. Tibshirani have?
Science Explorer counts 41 works and 2,138 citations for Ryan J. Tibshirani, ranking #16,811 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.
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