Katya Scheinberg
Katya Scheinberg publishes mostly in Artificial Intelligence, Computational Mechanics and Numerical Analysis, on topics such as Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques and Advanced Optimization Algorithms Research.
- World rank
- #185,590 of 7,710,434 ranked researchers
- Rank in United States
- #69,161 of 1,627,098
- Works
- 123
- Citations
- 6.5k
- Citations per work
- 52.7
What does Katya Scheinberg research?
Katya Scheinberg's work is mostly in Computer Science (36%), Mathematics (20%), Engineering (17%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences9073.5%
- Computer Science4436.1%
- Mathematics2520.5%
- Engineering2116.9%
- Everything else2621.5%
- Social Sciences65.0%
- Decision Sciences65.0%
- 1Artificial Intelligence28% of their works
- 2Computational Mechanics17% of their works
- 3Numerical Analysis16% of their works
- 4Computational Theory and Mathematics9% of their works
- 5Management Science and Operations Research5% of their works
- 6Statistics and Probability5% of their works
Research topics
- Sparse and Compressive Sensing Techniques
- Stochastic Gradient Optimization Techniques
- Advanced Optimization Algorithms Research
- Optimization and Variational Analysis
- Machine Learning and Algorithms
- Advanced Bandit Algorithms Research
- Iterative Methods for Nonlinear Equations
- Machine Learning and Data Classification
Which keywords describe Katya Scheinberg's research?
The keywords of their largest research topics: Convex Optimization, Deep Learning, Compressed Sensing, Sparse Representation, Random Projections, Stochastic Gradient Descent, Optimization Software and Semidefinite Programming.
- Instance Selection
- Iterative Methods
- Bayesian Optimization
- Active Learning
- Iterative Algorithms
- Semidefinite Programming
- Stochastic Gradient Descent
- Sparse Representation
- Deep Learning
- Convex Optimization
- Compressed Sensing
- Random Projections
- Optimization Software
- Hyperparameter Optimization
- Nonlinear Operators
- Bandit Optimization
- Machine Learning
- Newton's Method
- Noisy Labels
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 Optimization1654 topics
- Deep Learning612 topics
- Compressed Sensing571 topic
- Sparse Representation571 topic
- Random Projections501 topic
- Stochastic Gradient Descent501 topic
- Optimization Software471 topic
- Semidefinite Programming471 topic
- Hyperparameter Optimization192 topics
- Iterative Algorithms131 topic
- Nonlinear Operators131 topic
- Active Learning111 topic
- Bandit Optimization111 topic
- Bayesian Optimization111 topic
- Machine Learning111 topic
- Iterative Methods101 topic
- Newton's Method101 topic
- Instance Selection81 topic
- Noisy Labels81 topic
Where does Katya Scheinberg work?
Katya Scheinberg's main affiliation in the publication record is Lehigh University, United States.
How many publications and citations does Katya Scheinberg have?
OpenAlex counts 123 works and 6,476 citations for Katya Scheinberg, an h-index of 36, ranking #185,590 of 7,710,434 researchers worldwide on the quality 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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