Andrew McGregor
Artificial Intelligence · with Guha · 2009–2015
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #11,399 of 35,345 by trust here, #9,170 by citations
- Privacy & Security — 25 citations into it
- Computational Theory and Mathematics — 18 citations into it
- Computer Networks and Communications — 15 citations into it
- Statistics and Probability — 11 citations into it
- Signal Processing — 8 citations into it
- Algorithms & Complexity — 5 citations into it
- Information Systems — 5 citations into it
Whom Andrew McGregor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ziv Bar-Yossef
- Kook Jin Ahn
- S. Muthu Muthukrishnan
- Cynthia Dwork
- Daniel A. Spielman
- Piotr Indyk
- Amit Chakrabarti
- Ravi Kumar
- Graham Cormode
- Sudipto Guha
Who trusts Andrew McGregor overall
- Joakim Skarding
- Emaad Manzoor
- Michael Hay
- Ashwin Machanavajjhala
- Gerome Miklau
- Ryan McKenna
- Graham Cormode
- Chao Li
Papers from Andrew McGregor's perspective
Ordered by how strongly the researchers Andrew McGregor trusts endorse each paper. Same corpus, a different order for every researcher.
- Extensions of Lipschitz mappings into Hilbert space
- An improved data stream summary: the count-min sketch and its applications
- Finding frequent items in data streams
- Calibrating Noise to Sensitivity in Private Data Analysis
- Stable distributions, pseudorandom generators, embeddings and data stream computation (Proceedings 41st Annual Symposium on Foundations of Computer Science)
- Reductions in streaming algorithms, with an application to counting triangles in graphs (ACM-SIAM Symposium on Discrete Algorithms)
- Differentially private recommender systems: building privacy into the net
- Data streams: algorithms and applications (ACM-SIAM Symposium on Discrete Algorithms)
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Smooth sensitivity and sampling in private data analysis
Their papers
- Stream Order and Order Statistics: Quantile Estimation in Random-Order Streams (2009) — 97 citations
- Optimizing linear counting queries under differential privacy (2009) — 368 citations
- The matrix mechanism: optimizing linear counting queries under differential privacy (2015) — 206 citations
- Graph stream algorithms: a survey (2014) — 456 citations
- Graph sketches: sparsification, spanners, and subgraphs (2012) — 334 citations
- AutoMan: a platform for integrating human-based and digital computation (2012) — 142 citations