Scholar
Uri Stemmer
Google Scholar ID: Ew7QLzsAAAAJ
Tel Aviv University
Data privacy
Learning theory
Theoretical computer science
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Citations & Impact
All-time
Citations
2,453
H-index
25
i10-index
41
Publications
20
Co-authors
54
list available
Publications
15 items
Vanilla Policy Optimization Is Both Optimal and Differentially Private for Stochastic Contextual Bandits
2026
Cited
0
Tight Bounds on the Cost of Adaptivity for the Meyerson Sketch
2026
Cited
0
Machine Unlearning as Private Retroactive Algorithms
2026
Cited
0
Is Randomness Necessary for Adaptive Data Analysis?
2026
Cited
0
Load Balancing under Adaptive Bin Deletions
2026
Cited
0
Protecting the Undeleted in Machine Unlearning
2026
Cited
0
Adaptively Robust Resettable Streaming
2026
Cited
0
A Simple and Robust Protocol for Distributed Counting
2025
Cited
0
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Academic Achievements
Multiple papers accepted to top-tier conferences including STOC'25, ICML'25, NeurIPS'25, SODA'26, ICALP'25, ITCS'25, etc.
STOC'25 paper presents the first polynomial-time algorithm for privately finding a point in the convex hull in high dimensions
NeurIPS'25 papers include tight bounds for adaptively chosen concentrated queries
ICML'24 paper 'Private Truly-Everlasting Robust-Prediction' received an Oral Presentation
Served on program committees and as area chair for NeurIPS, ICML, ALT, STOC, and others
Taught a mini-course at the Boston DP Summer School (2022)
Co-authors
17 total
Kobbi Nissim
Dept. of Computer Science (Georgetown)
Haim Kaplan
School of Computer Science, Tel Aviv University
Yishay Mansour
Tel Aviv University
Edith Cohen
Google, Tel Aviv University
Jelani Nelson
Professor, EECS, University of California, Berkeley
Raef Bassily
Associate Professor, Computer Science & Engineering, The Ohio State University
Shay Moran
(Math, CS, & DDS, Technion) & (Google Research)
Mark Bun
Assistant Professor, Boston University