H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 41 Citations 15,073 108 World Ranking 4267 National Ranking 187

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algorithm

His scientific interests lie mostly in Artificial intelligence, Theoretical computer science, Machine learning, Algorithm and Classifier. His study connects Margin and Artificial intelligence. His research investigates the connection between Theoretical computer science and topics such as Cluster analysis that intersect with problems in Axiom and Data set.

Shai Ben-David has included themes like Basis, Similarity, Task learning and Multi-task learning in his Machine learning study. His studies in Algorithm integrate themes in fields like Stability, Linear discriminant analysis and Competitive analysis. His Computational learning theory research includes themes of Artificial neural network, Stochastic gradient descent, VC dimension and Algorithmic learning theory.

His most cited work include:

  • Understanding Machine Learning: From Theory to Algorithms (1887 citations)
  • A theory of learning from different domains (1350 citations)
  • Analysis of Representations for Domain Adaptation (968 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Artificial intelligence, Machine learning, Theoretical computer science, Cluster analysis and Algorithm. His Machine learning study also includes fields such as

  • Multi-task learning that connect with fields like Similarity,
  • Classifier that intertwine with fields like Training set. The Theoretical computer science study combines topics in areas such as Time complexity, Probabilistic logic and Axiom.

His study looks at the relationship between Cluster analysis and fields such as Data mining, as well as how they intersect with chemical problems. His Algorithm study combines topics from a wide range of disciplines, such as Artificial neural network and Metric space. The various areas that he examines in his Computational learning theory study include Computational geometry and Algorithmic learning theory.

He most often published in these fields:

  • Artificial intelligence (39.56%)
  • Machine learning (29.67%)
  • Theoretical computer science (23.08%)

What were the highlights of his more recent work (between 2011-2021)?

  • Artificial intelligence (39.56%)
  • Machine learning (29.67%)
  • Cluster analysis (21.98%)

In recent papers he was focusing on the following fields of study:

Shai Ben-David mainly focuses on Artificial intelligence, Machine learning, Cluster analysis, Theoretical computer science and Algorithm. The concepts of his Artificial intelligence study are interwoven with issues in Multi-task learning and Pattern recognition. His research integrates issues of Algorithmics and Symbolic computation in his study of Machine learning.

His Cluster analysis study integrates concerns from other disciplines, such as Time complexity and Data mining. Shai Ben-David has included themes like Computational complexity theory, Characterization, Probabilistic logic and Learnability in his Theoretical computer science study. His Algorithm study combines topics in areas such as Labeled data and Minimax.

Between 2011 and 2021, his most popular works were:

  • Understanding Machine Learning: From Theory to Algorithms (1887 citations)
  • Empirical Risk Minimization Under Fairness Constraints (113 citations)
  • Weighted clustering (51 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Algorithm

Shai Ben-David focuses on Artificial intelligence, Machine learning, Cluster analysis, Mathematical optimization and Algorithm. His studies deal with areas such as Theoretical computer science and Generalization as well as Artificial intelligence. His work carried out in the field of Machine learning brings together such families of science as Multi-task learning and Generalization.

His work in Cluster analysis tackles topics such as Data mining which are related to areas like Parametrization and CURE data clustering algorithm. His study in the field of Empirical risk minimization also crosses realms of Conditional risk. His Linear prediction study in the realm of Algorithm connects with subjects such as Order.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Understanding Machine Learning: From Theory to Algorithms

Shai Shalev-Shwartz;Shai Ben-David.
(2015)

3422 Citations

A theory of learning from different domains

Shai Ben-David;John Blitzer;Koby Crammer;Alex Kulesza.
Machine Learning (2010)

1260 Citations

Analysis of Representations for Domain Adaptation

Shai Ben-David;John Blitzer;Koby Crammer;Fernando Pereira.
neural information processing systems (2006)

1060 Citations

Detecting change in data streams

Daniel Kifer;Shai Ben-David;Johannes Gehrke.
very large data bases (2004)

876 Citations

On the power of randomization in on-line algorithms

S. Ben-David;A. Borodin;R. Karp;G. Tardos.
Algorithmica (1994)

532 Citations

Scale-sensitive dimensions, uniform convergence, and learnability

Noga Alon;Shai Ben-David;Nicolò Cesa-Bianchi;David Haussler.
Journal of the ACM (1997)

498 Citations

Exploiting Task Relatedness for Multiple Task Learning

Shai Ben-David;Shai Ben-David;Reba Schuller.
conference on learning theory (2003)

446 Citations

On the theory of average case complexity

Shai Ben-David;Benny Chor;Oded Goldreich;Michael Luby.
Journal of Computer and System Sciences (1992)

302 Citations

A sober look at clustering stability

Shai Ben-David;Ulrike von Luxburg;Dávid Pál.
conference on learning theory (2006)

274 Citations

On the power of randomization in online algorithms

S. Ben-David;A. Borodin;R. Karp;G. Tardos.
symposium on the theory of computing (1990)

265 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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