Sébastien Gadat
Sébastien Gadat publishes mostly in Artificial Intelligence, Statistics and Probability and Finance, on topics such as Stochastic processes and financial applications, Bayesian Methods and Mixture Models and Sparse and Compressive Sensing Techniques.
- World rank
- #1,328,664 of 1,633,909 ranked researchers
- Rank in France
- #80,787 of 96,116
- Works
- 38
- Citations
- 33
- Citations per work
- 0.9
What does Sébastien Gadat research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence16% of their works
- 2Statistics and Probability14% of their works
- 3Finance8% of their works
- 4Computational Mechanics6% of their works
- 5Management Science and Operations Research6% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
- Stochastic processes and financial applications
- Bayesian Methods and Mixture Models
- Sparse and Compressive Sensing Techniques
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Stochastic Gradient Optimization Techniques
- Matrix Theory and Algorithms
- Advanced Optimization Algorithms Research
Which keywords describe Sébastien Gadat's research?
The keywords of their largest research topics: Convex Optimization, Model Selection, Approximation Algorithms, Option Pricing, Stochastic Calculus, Bayesian Monte Carlo, Clustering and Compressed Sensing.
- Semidefinite Programming
- Optimization Software
- Matrix Computations
- Sparse Representation
- Mixture Models
- Compressed Sensing
- Bayesian Monte Carlo
- Option Pricing
- Model Selection
- Convex Optimization
- Approximation Algorithms
- Stochastic Calculus
- Clustering
- Markov Chain
- Regularization
- Variable Selection
- Numerical Linear Algebra
- Random Projections
- 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 19 words, with their numbers
- Convex Optimization73 topics
- Model Selection62 topics
- Approximation Algorithms52 topics
- Option Pricing41 topic
- Stochastic Calculus41 topic
- Bayesian Monte Carlo31 topic
- Clustering31 topic
- Compressed Sensing31 topic
- Markov Chain31 topic
- Mixture Models31 topic
- Regularization31 topic
- Sparse Representation31 topic
- Variable Selection31 topic
- Matrix Computations21 topic
- Numerical Linear Algebra21 topic
- Optimization Software21 topic
- Random Projections21 topic
- Semidefinite Programming21 topic
- Stochastic Gradient Descent21 topic
Where does Sébastien Gadat work?
Sébastien Gadat's main affiliation in the publication record is Toulouse School of Economics, France.
How many publications and citations does Sébastien Gadat have?
Science Explorer counts 38 works and 33 citations for Sébastien Gadat, ranking #1,328,664 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.