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Uri Stemmer

Identifiers

  • name variant Uri Stemmer 0.60 · backfill

Papers (57)

  1. Bayesian Perspective on Memorization and Reconstruction cs.CR · 2025 · author #4
  2. Nearly Optimal Sample Complexity for Learning with Label Proportions cs.LG · 2025 · author #6
  3. Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries cs.DS · 2025 · author #3
  4. One Attack to Rule Them All: Tight Quadratic Bounds for Adaptive Queries on Cardinality Sketches cs.DS · 2024 · author #5
  5. On Differentially Private Linear Algebra cs.DS · 2024 · author #4
  6. Data Reconstruction: When You See It and When You Don't cs.CR · 2024 · author #6
  7. Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries cs.CR · 2024 · author #5
  8. Private Truly-Everlasting Robust-Prediction cs.LG · 2024 · author #1
  9. Adaptive Data Analysis in a Balanced Adversarial Model cs.LG · 2023 · author #2
  10. Private Everlasting Prediction cs.LG · 2023 · author #3
  11. On Differentially Private Online Predictions cs.LG · 2023 · author #5
  12. On Differential Privacy and Adaptive Data Analysis with Bounded Space cs.CR · 2023 · author #2
  13. Concurrent Shuffle Differential Privacy Under Continual Observation cs.LG · 2023 · author #4
  14. Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model cs.DS · 2023 · author #3
  15. Differentially-Private Bayes Consistency cs.LG · 2022 · author #7
  16. Generalized Private Selection and Testing with High Confidence cs.CR · 2022 · author #5
  17. \~Optimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization cs.LG · 2022 · author #5
  18. MPC for Tech Giants (GMPC): Enabling Gulliver and the Lilliputians to Cooperate Amicably cs.CR · 2022 · author #4
  19. Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs cs.DS · 2022 · author #4
  20. On the Robustness of CountSketch to Adaptive Inputs cs.DS · 2022 · author #6
  21. Monotone Learning cs.LG · 2022 · author #6
  22. Adaptive Data Analysis with Correlated Observations cs.LG · 2022 · author #3
  23. Differentially-Private Clustering of Easy Instances cs.LG · 2021 · author #4
  24. A Note on Sanitizing Streams with Differential Privacy cs.DS · 2021 · author #2
  25. Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds cs.DS · 2021 · author #6
  26. FriendlyCore: Practical Differentially Private Aggregation cs.LG · 2021 · author #5
  27. Differentially Private Approximate Quantiles cs.LG · 2021 · author #3
  28. A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators cs.DS · 2021 · author #4
  29. On the Sample Complexity of Privately Learning Axis-Aligned Rectangles cs.LG · 2021 · author #2
  30. Differentially Private Multi-Armed Bandits in the Shuffle Model cs.LG · 2021 · author #4
  31. Separating Adaptive Streaming from Oblivious Streaming cs.DS · 2021 · author #4
  32. Differentially Private Weighted Sampling cs.LG · 2020 · author #4
  33. The Sparse Vector Technique, Revisited cs.LG · 2020 · author #3
  34. On the Round Complexity of the Shuffle Model cs.CR · 2020 · author #4
  35. Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity cs.LG · 2020 · author #3
  36. Adversarially Robust Streaming Algorithms via Differential Privacy cs.DS · 2020 · author #5
  37. How to Find a Point in the Convex Hull Privately cs.DS · 2020 · author #3
  38. Closure Properties for Private Classification and Online Prediction cs.LG · 2020 · author #4
  39. The power of synergy in differential privacy: Combining a small curator with local randomizers cs.DS · 2019 · author #5
  40. Privately Learning Thresholds: Closing the Exponential Gap cs.DS · 2019 · author #5
  41. Locally Private k-Means Clustering cs.LG · 2019 · author #1
  42. Private Center Points and Learning of Halfspaces cs.LG · 2019 · author #4
  43. Differentially Private Learning of Geometric Concepts cs.LG · 2019 · author #4
  44. The Limits of Post-Selection Generalization cs.LG · 2018 · author #4
  45. Differentially Private k-Means with Constant Multiplicative Error cs.DS · 2018 · author #2
  46. Heavy Hitters and the Structure of Local Privacy cs.DS · 2017 · author #3
  47. Practical Locally Private Heavy Hitters cs.DS · 2017 · author #3
  48. Clustering Algorithms for the Centralized and Local Models cs.DS · 2017 · author #2
  49. Concentration Bounds for High Sensitivity Functions Through Differential Privacy cs.LG · 2017 · author #2
  50. Locating a Small Cluster Privately cs.DS · 2016 · author #2
  51. Simultaneous Private Learning of Multiple Concepts cs.DS · 2015 · author #3
  52. Algorithmic Stability for Adaptive Data Analysis cs.LG · 2015 · author #5
  53. Differentially Private Release and Learning of Threshold Functions cs.CR · 2015 · author #3
  54. On the Generalization Properties of Differential Privacy cs.LG · 2015 · author #2
  55. Private Learning and Sanitization: Pure vs. Approximate Differential Privacy cs.LG · 2014 · author #3
  56. Learning Privately with Labeled and Unlabeled Examples cs.LG · 2014 · author #3
  57. Characterizing the Sample Complexity of Private Learners cs.CR · 2014 · author #3

Mentions

  • 2505.05355 #6 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2505.23658 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2411.06370 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 2405.15753 #6 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2411.03087 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2403.00028 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2401.04311 #1 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2202.05246 #6 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2305.15452 #2 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 2301.12535 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 2110.10132 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2212.04216 #7 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2211.06387 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2107.14527 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2207.00956 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2202.13736 #6 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2201.08704 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2112.14445 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 2111.03980 #6 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 2110.05429 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 1907.02513 #1 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2010.13048 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2101.10836 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2010.00917 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2004.07839 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2009.13510 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 2003.04509 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 1912.08951 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 1902.10731 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1902.05017 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1804.08001 #2 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1806.06100 #4 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1711.04740 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1707.04982 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1707.04766 #2 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 1511.08552 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
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  • 1511.02513 #5 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1407.2662 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1407.2674 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1402.2224 #3 · arxiv_oai · confidence 0.70 Uri Stemmer
  • 1511.08552 #3 · backfill · confidence 0.70 Uri Stemmer
  • 1511.02513 #5 · backfill · confidence 0.70 Uri Stemmer
  • 1504.05800 #2 · backfill · confidence 0.70 Uri Stemmer
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Frequent Coauthors