Edith Cohen
where else to find them
no profile links on file
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Uri Stemmer2×
- Adam Sealfononce
- Alexander Knoponce
all 20 in the filters
who talks about the same things
- Uri Stemmer3 talks
- Aaron Roth11 talks
- Jelani Nelson10 talks
- Pasin Manurangsi8 talks
- Yuval Filmus9 talks
- Oded Goldreich4 talks
| title | conference | date |
|---|---|---|
| A DP Framework for Gaining Insights into AI Chatbot Use | PEPR '26 | 2026-06-01 |
Urania converts millions of raw chatbot logs into DP-safe summaries and trends, claiming end-to-end ε,δ DP guarantees by privatizing cluster centers and… | ||
| Sampling Big Ideas in Sublinear Algorithms | Sublinear Algorithms Boot Camp 2024 | 2024-05-21 |
Presents concrete algorithms: use order-statistics scoring (exponential or priority hashes) to get PPSWOR without knowing total weight, implementable in… | ||
| Robustness of Sketches to Adaptive nputs | Sketching and Algorithm Design 2023 | 2023-10-09 |
Shows how a differential-privacy-style wrapper (replicating sketches, DP aggregation) gives robustness to adaptive inputs and supports about d^2 queries on a… | ||
| Generalized Private Selection and Testing with High Confidence | ITCS 2023 | 2023-01-10 |
A unified framework produces a private selection algorithm that attains 2 + o(1) pure DP selection from arbitrarily many epsilon‑DP candidates by randomized… | ||
| A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators | ITCS 2023 | 2023-01-10 |
Presents a concrete algorithmic framework that combines difference estimators with differential privacy to convert oblivious streaming routines into… | ||
| Monotone Estimation Framework and its Applications for Scalable Analytics of Large Data Sets | Learning, Algorithm Design and Beyond Worst-Case Analysis | 2016-11-14 |
Defines a monotone sampling with seed u model where each sample reveals a set of consistent data vectors and estimators must be unbiased, nonnegative and… | ||
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