Rasmus Pagh

Rasmus Pagh

Professor

ORCID: 0000-0002-1516-9306

Publication year:
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1 - 10 out of 17Page size: 10
  1. 2024
  2. Published

    Shannon meets Gray: Noise-robust, Low-sensitivity Codes with Applications in Differential Privacy

    Lolck, David Rasmussen & Pagh, Rasmus, 2024, p. 1050-1066. 17 p.

    Research output: Contribution to conference › Paper › Research › peer-review

  3. 2023
  4. Published

    A Smooth Binary Mechanism for Efficient Private Continual Observation

    Andersson, Joel Daniel & Pagh, Rasmus, 2023. 11 p.

    Research output: Contribution to conference › Paper › Research

  5. Published

    Simple Set Sketching

    Houen, Jakob Bæk Tejs, 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. 228-241

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. 2022
  7. 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

  8. 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. 753-761

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. 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

  10. 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

  11. Published

    Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access

    Aumüller, M., Lebeda, C. J. & Pagh, Rasmus, 2022, In: Journal of Privacy and Confidentiality. 12, 2, 35 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  12. Published

    Sampling a Near Neighbor in High Dimensions-Who is the Fairest of Them All?

    Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, In: ACM Transactions on Database Systems. 47, 1, p. 1-40 4.

    Research output: Contribution to journal › Journal article › Research › peer-review

  13. Published

    Sampling near neighbors in search for fairness

    Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, Rasmus & Silvestri, F., 2022, In: Communications of the ACM. 65, 8, p. 83-90

    Research output: Contribution to journal › Journal article › Research › peer-review

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