Maryam Aliakbarpour
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Statistics and Probability — 13 citations into it
- Computational Theory and Mathematics — 11 citations into it
Whom Maryam Aliakbarpour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oded Goldreich
- Liam Paninski
- Cynthia Dwork
- Ilias Diakonikolas
- Siu On Chan
- Clément Louis Canonne
- Bryan Cai
- Ronitt Rubinfeld
- Aaron Roth
- Dana Ron
Who trusts Maryam Aliakbarpour overall
- Jayadev Acharya
- Kareem Amin
- Marco Gaboardi
- Ziteng Sun
- Clément Louis Canonne
- Matthew Joseph
- Huanyu Zhang
- Ryan M. Rogers
- Gautam Kamath
- Thomas B. Berrett
Papers from Maryam Aliakbarpour's perspective
Ordered by how strongly the researchers Maryam Aliakbarpour trusts endorse each paper. Same corpus, a different order for every researcher.
- On Testing Expansion in Bounded-Degree Graphs
- Testing that distributions are close
- The Algorithmic Foundations of Differential Privacy
- Taming big probability distributions
- Priv'IT: Private and Sample Efficient Identity Testing
- Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
- Calibrating Noise to Sensitivity in Private Data Analysis
- The uniform distribution is complete with respect to testing identity to a fixed distribution
- Information Theory: 1948-1998 - Guest Editorial
- Testing Identity of Structured Distributions
Their papers
- Differentially Private Identity and Equivalence Testing of Discrete Distributions (2018) — 32 citations
- Differentially Private Identity and Closeness Testing of Discrete Distributions (2017) — 15 citations