Research output per year
Research output per year
Personal profile
Research areas
My scientific interests are within algorithms and data structures. In the past I have worked extensively on basic questions in information retrieval and the role of randomness in computing. More recently I have worked on problems with applications in databases and knowledge discovery, as well as the exploitation of parallelism in modern computer architectures. See my home page for more information.
Curriculum
I have taught extensively on database technology, as well as on construction of software that makes efficient use of resources through use of good algorithms. See my home page for more information.
Current position
Professor of computer science (part time)
Keywords
- algorithms
- data structures
- big data
- data mining
- knowledge discovery
- parallelism
- scalability
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Network
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Research output
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DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Aumüller, M., Karppa, M. & Pagh, R., 2022, AISTATS 2022: International Conference on Artificial Intelligence and Statistics. Vol. 151. p. 3108-3137Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access
Aumüller, M., Lebeda, C. J. & Pagh, R., 2022, In: Journal of Privacy and Confidentiality. 12, 2Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Open Access -
Sampling a Near Neighbor in High Dimensions — Who is the Fairest of Them All?
Aumüller, M., Pagh, R., Silvestri, F., Har-Peled, S. & Mahabadi, S., 2022, In: ACM Transactions on Database Systems. 47, 1, p. 1-40 40 p., 4.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Open AccessFile -
Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access
Aumüller, M., Pagh, R. & Lebeda, C. J., 2021, Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, 14 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open AccessFile -
Efficient Differentially Private F0 Linear Sketching
Pagh, R. & Nielsen, N. M. S., 2021, 24th International Conference on Database Theory (ICDT 2021). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, (Leibniz International Proceedings in Informatics (LIPIcs)).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open AccessFile
Activities
- 1 Organisation and participation in conference
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Scandinavian Symposium and Workshops on Algorithm Theory
Rasmus Pagh (Conference Chair)
22 Jun 2016 → 24 Jun 2016Activity: Participating in or organising an event types › Organisation and participation in conference
Press/Media
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Facebook annoncerede stop for privat salg af håndsprit. Alligevel solgte Ali »over 100 stk«
05/04/2020
1 Media contribution
Press/Media: Press / Media
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13/2: Hvad er algoritmer egentlig for en størrelse?
28/01/2020
1 Media contribution
Press/Media: Press / Media
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