Csaba Szepesvári
Csaba Szepesvári publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, on topics such as Advanced Bandit Algorithms Research, Reinforcement Learning in Robotics and Machine Learning and Algorithms.
- World rank
- #24,152 of 1,633,909 ranked researchers
- Rank in Canada
- #688 of 38,960
- Works
- 116
- Citations
- 1.2k
- Citations per work
- 10.6
What does Csaba Szepesvári research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence47% of their works
- 2Management Science and Operations Research17% of their works
- 3Computer Networks and Communications7% of their works
- 4Statistics and Probability4% of their works
- 5Control and Systems Engineering4% of their works
- 6Computer Vision and Pattern Recognition4% of their works
Research topics
Which keywords describe Csaba Szepesvári's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Machine Learning, Bandit Optimization, Bayesian Optimization, Neural Networks, Gaussian Processes and Reinforcement Learning.
- Adversarial Examples
- Sparse Representation
- Markov Chain
- Bayesian Monte Carlo
- Mobile Robots
- Active Learning
- Reinforcement Learning
- Neural Networks
- Bandit Optimization
- Convex Optimization
- Deep Learning
- Machine Learning
- Bayesian Optimization
- Gaussian Processes
- Robotics
- Semi-Supervised Learning
- Online Algorithms
- Compressed Sensing
- Sparse Regression
- Variational Inference
- Robustness
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 Learning394 topics
- Convex Optimization252 topics
- Machine Learning223 topics
- Bandit Optimization211 topic
- Bayesian Optimization211 topic
- Neural Networks202 topics
- Gaussian Processes192 topics
- Reinforcement Learning171 topic
- Robotics171 topic
- Active Learning151 topic
- Semi-Supervised Learning151 topic
- Mobile Robots61 topic
- Online Algorithms61 topic
- Bayesian Monte Carlo41 topic
- Compressed Sensing41 topic
- Markov Chain41 topic
- Sparse Regression41 topic
- Sparse Representation41 topic
- Variational Inference41 topic
- Adversarial Examples31 topic
- Robustness31 topic
Where does Csaba Szepesvári work?
Csaba Szepesvári's main affiliation in the publication record is University of Alberta, Canada.
How many publications and citations does Csaba Szepesvári have?
Science Explorer counts 116 works and 1,230 citations for Csaba Szepesvári, ranking #24,152 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.