Shai Ben-David
Impact in
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Machine Learning and Data Classification
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
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- Multimodal Machine Learning Applications
- Face and Expression Recognition
Papers in
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- Machine Learning and Algorithms 49
- Algorithms and Data Compression 20
- Advanced Clustering Algorithms Research 15
- Machine Learning and Data Classification 15
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- Computability, Logic, AI Algorithms 22
- Co-authors
- Shai Shalev‐ShwartzFernando PereiraAlex KuleszaKoby CrammerJennifer Wortman VaughanJohn BlitzerMargareta AckermanDávid Pál
- Journals
- Machine Learning (7 papers)Journal of Computer and System Sciences (5 papers)Israel Journal of Mathematics (3 papers)Journal of Machine Learning Research (3 papers)Nature Machine Intelligence (2 papers)
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Shai Ben-David
87 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 1.5k
- Signal Processing 411
- Computational Theory and Mathematics 548
- Computational Mathematics 18
Countries citing papers authored by Shai Ben-David
This map shows the geographic impact of Shai Ben-David's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shai Ben-David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shai Ben-David more than expected).
Fields of papers citing papers by Shai Ben-David
This network shows the impact of papers produced by Shai Ben-David. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shai Ben-David. The network helps show where Shai Ben-David may publish in the future.
Co-authors
The 25 scholars most cited alongside Shai Ben-David, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes | 2018 | 4 |
| 2 | Clustering with Same-Cluster Queries | 2016 | 13 |
| 3 | Hierarchical Label Queries with Data-Dependent Partitions | 2015 | 3 |
| 4 | Clustering in the Presence of Background Noise | 2014 | 13 |
| 5 | The sample complexity of agnostic learning under deterministic labels | 2014 | 3 |
| 6 | PLAL: Cluster-based active learning | 2013 | 11 |
| 7 | Monochromatic Bi-Clustering | 2013 | 4 |
| 8 | Domain Adaptation--Can Quantity compensate for Quality?. | 2012 | 2 |
| 9 | Learning from Weak Teachers | 2012 | 11 |
| 10 | Access to Unlabeled Data can Speed up Prediction Time | 2011 | 13 |
| 11 | Characterization of Linkage-based Clustering | 2010 | 22 |
| 12 | Impossibility Theorems for Domain Adaptation | 2010 | 87 |
| 13 | Clusterability: A Theoretical Study | 2009 | 45 |
| 14 | Localized Boosting | 2000 | 17 |
| 15 | Efficient Learning of Linear Perceptrons | 2000 | 13 |
| 16 | Proceedings of the twelfth annual conference on Computational learning theory | 1999 | 1 |
| 17 | Proceedings of the Third European Conference on Computational Learning Theory | 1997 | 1 |
| 18 | Applying VC-dimension analysis to 3D object recognition from perspective projections | 1994 | 2 |
| 19 | 1990 | 5 | |
| 20 | On the Theory of Average Case Complexity (abstract). | 1989 | 2 |
About Shai Ben-David
Shai Ben-David is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Signal Processing and Geometry and Topology, having authored 89 papers that have together received 6.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (49 papers), Computability, Logic, AI Algorithms (22 papers), Algorithms and Data Compression (20 papers), Advanced Clustering Algorithms Research (15 papers), Machine Learning and Data Classification (15 papers), Optimization and Search Problems (10 papers), Data Management and Algorithms (10 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (1.5k citations), Signal Processing (411 citations), Computational Theory and Mathematics (548 citations) and Computational Mathematics (18 citations). Shai Ben-David has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Shai Shalev‐Shwartz, Fernando Pereira, Alex Kulesza, Koby Crammer, Jennifer Wortman Vaughan, John Blitzer, Margareta Ackerman, Dávid Pál, Nicolò Cesa‐Bianchi and Noga Alon. Their work appears in journals such as Machine Learning, Journal of Computer and System Sciences, Israel Journal of Mathematics, Journal of Machine Learning Research and Nature Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.