Rasmus Pagh
Professor
Algorithms and Complexity
Universitetsparken 1
2100 København Ø
- 2023
- Published
Simple Set Sketching
Bæk Tejs Houen, J., Pagh, Rasmus & Walzer, S., 2023, Proceedings, 2023 Symposium on Simplicity in Algorithms (SOSA). Kavitha, T. & Mehlhorn, K. (eds.). Society for Industrial and Applied Mathematics, p. 228-241Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Karppa, M., Aumüller, M. & Pagh, Rasmus, 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics. PMLR, p. 3108-3137 (Proceedings of Machine Learning Research, Vol. 151).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
HyperLogLogLog: Cardinality Estimation With One Log More
Karppa, M. & Pagh, Rasmus, 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Inc., p. 753-761Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Improved Utility Analysis of Private CountSketch
Pagh, Rasmus & Thorup, Mikkel, 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). NeurIPS Proceedings, 13 p. (Advances in Neural Information Processing Systems, Vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Infinitely Divisible Noise in the Low Privacy Regime
Pagh, Rasmus & Stausholm, N. M., 2022, Proceedings of The 33rd International Conference on Algorithmic Learning Theory. PMLR, p. 881-909 (Proceedings of Machine Learning Research, Vol. 167).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2021
- Published
CountSketches, Feature Hashing and the Median of Three
Larsen, K. G., Pagh, Rasmus & Tetek, Jakub, 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 6011-6020 (Proceedings of Machine Learning Research, Vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Ghazi, B., Kumar, R., Manurangsi, P., Pagh, Rasmus & Sinha, A., 2021, Proceedings of the 38 th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 3692-3701 (Proceedings of Machine Learning Research, Vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access
Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2021, CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 1223-1236 (Proceedings of the ACM Conference on Computer and Communications Security).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Efficient differentially private F0 linear sketching
Pagh, Rasmus & Stausholm, N. M., 2021, 24th International Conference on Database Theory, ICDT 2021. Yi, K. & Wei, Z. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-19 18. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 186).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
On the Power of Multiple Anonymous Messages: Frequency Estimation and Selection in the Shuffle Model of Differential Privacy
Ghazi, B., Golowich, N., Kumar, R., Pagh, Rasmus & Velingker, A., 2021, Advances in Cryptology – EUROCRYPT 2021 - 40th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Proceedings. Canteaut, A. & Standaert, F-X. (eds.). Springer, p. 463-488 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12698 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 252282120
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Efficient differentially private F0 linear sketching
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published