Uri Stemmer

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Papers (15)

1. Private Center Points and Learning of Halfspaces cs.LG · 2019 · author #4
2. Differentially Private Learning of Geometric Concepts cs.LG · 2019 · author #4
3. The Limits of Post-Selection Generalization cs.LG · 2018 · author #4
4. Differentially Private k-Means with Constant Multiplicative Error cs.DS · 2018 · author #2
5. Heavy Hitters and the Structure of Local Privacy cs.DS · 2017 · author #3
6. Practical Locally Private Heavy Hitters cs.DS · 2017 · author #3
7. Clustering Algorithms for the Centralized and Local Models cs.DS · 2017 · author #2
8. Concentration Bounds for High Sensitivity Functions Through Differential Privacy cs.LG · 2017 · author #2
9. Locating a Small Cluster Privately cs.DS · 2016 · author #2
10. Simultaneous Private Learning of Multiple Concepts cs.DS · 2015 · author #3
11. Algorithmic Stability for Adaptive Data Analysis cs.LG · 2015 · author #5
12. On the Generalization Properties of Differential Privacy cs.LG · 2015 · author #2
13. Private Learning and Sanitization: Pure vs. Approximate Differential Privacy cs.LG · 2014 · author #3
14. Learning Privately with Labeled and Unlabeled Examples cs.LG · 2014 · author #3
15. Characterizing the Sample Complexity of Private Learners cs.CR · 2014 · author #3

Mentions

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Frequent Coauthors

• Kobbi Nissim 12 shared papers
• Amos Beimel 4 shared papers
• Adam Smith 2 shared papers
• Haim Kaplan 2 shared papers
• Jonathan Ullman 2 shared papers
• Mark Bun 2 shared papers
• Raef Bassily 2 shared papers
• Thomas Steinke 2 shared papers
• Abhradeep Thakurta 1 shared papers
• Jelani Nelson 1 shared papers
• Salil Vadhan 1 shared papers
• Shay Moran 1 shared papers
• Yishay Mansour 1 shared papers
• Yossi Matias 1 shared papers