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- Jelani Nelson
University of California, Berkeley, CA, USA
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Publication search results
found 121 matches
- 2024
- Yeshwanth Cherapanamjeri, Jelani Nelson:
Terminal Embeddings in Sublinear Time. TheoretiCS 3 (2024) - Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu:
On the Amortized Complexity of Approximate Counting. APPROX/RANDOM 2024: 33:1-33:17 - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries. COLT 2024: 1200-1222 - Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou:
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. ICML 2024 - Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn:
Sparse Dimensionality Reduction Revisited. ICML 2024 - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries. CoRR abs/2403.00028 (2024) - Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar, Samson Zhou:
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages. CoRR abs/2404.10201 (2024) - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries. IACR Cryptol. ePrint Arch. 2024: 373 (2024) - 2023
- Edith Cohen, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs. AAAI 2023: 7235-7243 - Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Jelani Nelson, Samson Zhou:
Differentially Private Aggregation via Imperfect Shuffling. ITC 2023: 17:1-17:22 - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Generalized Private Selection and Testing with High Confidence. ITCS 2023: 39:1-39:23 - Badih Ghazi, Ravi Kumar, Jelani Nelson, Pasin Manurangsi:
Private Counting of Distinct and k-Occurring Items in Time Windows. ITCS 2023: 55:1-55:24 - Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
Fast Optimal Locally Private Mean Estimation via Random Projections. NeurIPS 2023 - Justin Y. Chen, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Shyam Narayanan, Jelani Nelson, Yinzhan Xu:
Differentially Private All-Pairs Shortest Path Distances: Improved Algorithms and Lower Bounds. SODA 2023: 5040-5067 - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Optimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization. STOC 2023: 472-482 - Mikael Møller Høgsgaard, Lior Kamma, Kasper Green Larsen, Jelani Nelson, Chris Schwiegelshohn:
Sparse Dimensionality Reduction Revisited. CoRR abs/2302.06165 (2023) - Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
Fast Optimal Locally Private Mean Estimation via Random Projections. CoRR abs/2306.04444 (2023) - Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Jelani Nelson, Samson Zhou:
Differentially Private Aggregation via Imperfect Shuffling. CoRR abs/2308.14733 (2023) - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Hot PATE: Private Aggregation of Distributions for Diverse Task. CoRR abs/2312.02132 (2023) - 2022
- Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer:
On the Robustness of CountSketch to Adaptive Inputs. ICML 2022: 4112-4140 - Vitaly Feldman, Jelani Nelson, Huy L. Nguyen, Kunal Talwar:
Private frequency estimation via projective geometry. ICML 2022: 6418-6433 - Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten:
Estimation of Entropy in Constant Space with Improved Sample Complexity. NeurIPS 2022 - Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang:
Sketching based Representations for Robust Image Classification with Provable Guarantees. NeurIPS 2022 - Jelani Nelson, Huacheng Yu:
Optimal Bounds for Approximate Counting. PODS 2022: 119-127 - Yeshwanth Cherapanamjeri, Jelani Nelson:
Uniform approximations for Randomized Hadamard Transforms with applications. STOC 2022: 659-671 - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer:
On the Robustness of CountSketch to Adaptive Inputs. CoRR abs/2202.13736 (2022) - Vitaly Feldman, Jelani Nelson, Huy Le Nguyen, Kunal Talwar:
Private Frequency Estimation via Projective Geometry. CoRR abs/2203.00194 (2022) - Yeshwanth Cherapanamjeri, Jelani Nelson:
Uniform Approximations for Randomized Hadamard Transforms with Applications. CoRR abs/2203.01599 (2022) - Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Jelani Nelson:
Differentially Private All-Pairs Shortest Path Distances: Improved Algorithms and Lower Bounds. CoRR abs/2203.16476 (2022) - Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson, Erik Waingarten:
Estimation of Entropy in Constant Space with Improved Sample Complexity. CoRR abs/2205.09804 (2022)
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