| Instance-Optimal Private Density Estimation in the Wasserstein Distance V Feldman, A McMillan, S Sivakumar, K Talwar arXiv preprint arXiv:2406.19566, 2024 | | 2024 |
| Faster Convergence with Multiway Preferences A Saha, V Feldman, Y Mansour, T Koren International Conference on Artificial Intelligence and Statistics, 433-441, 2024 | 1 | 2024 |
| Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages H Asi, V Feldman, J Nelson, HL Nguyen, S Zhou, K Talwar arXiv preprint arXiv:2404.10201, 2024 | 3 | 2024 |
| Differentially private heavy hitter detection using federated analytics K Chadha, J Chen, J Duchi, V Feldman, H Hashemi, O Javidbakht, ... 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 512-533, 2024 | 4 | 2024 |
| Fast optimal locally private mean estimation via random projections H Asi, V Feldman, J Nelson, H Nguyen, K Talwar Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Federated learning with differential privacy for end-to-end speech recognition M Pelikan, SS Azam, V Feldman, J Silovsky, K Talwar, T Likhomanenko arXiv preprint arXiv:2310.00098, 2023 | 6* | 2023 |
| Samplable anonymous aggregation for private federated data analysis K Talwar, S Wang, A McMillan, V Jina, V Feldman, P Bansal, B Basile, ... arXiv preprint arXiv:2307.15017, 2023 | 7 | 2023 |
| Private online prediction from experts: Separations and faster rates H Asi, V Feldman, T Koren, K Talwar The Thirty Sixth Annual Conference on Learning Theory, 674-699, 2023 | 17 | 2023 |
| Near-optimal algorithms for private online optimization in the realizable regime H Asi, V Feldman, T Koren, K Talwar International Conference on Machine Learning, 1107-1120, 2023 | 7 | 2023 |
| Stronger privacy amplification by shuffling for rényi and approximate differential privacy V Feldman, A McMillan, K Talwar Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023 | 39 | 2023 |
| Subspace recovery from heterogeneous data with non-isotropic noise JC Duchi, V Feldman, L Hu, K Talwar Advances in Neural Information Processing Systems 35, 5854-5866, 2022 | 3 | 2022 |
| Mean estimation with user-level privacy under data heterogeneity R Cummings, V Feldman, A McMillan, K Talwar Advances in Neural Information Processing Systems 35, 29139-29151, 2022 | 21 | 2022 |
| Private federated statistics in an interactive setting A McMillan, O Javidbakht, K Talwar, E Briggs, M Chatzidakis, J Chen, ... arXiv preprint arXiv:2211.10082, 2022 | 6 | 2022 |
| No Free Lunch in" Privacy for Free: How does Dataset Condensation Help Privacy" N Carlini, V Feldman, M Nasr arXiv preprint arXiv:2209.14987, 2022 | 8 | 2022 |
| Optimal algorithms for mean estimation under local differential privacy H Asi, V Feldman, K Talwar International Conference on Machine Learning, 1046-1056, 2022 | 37 | 2022 |
| Private frequency estimation via projective geometry V Feldman, J Nelson, H Nguyen, K Talwar International Conference on Machine Learning, 6418-6433, 2022 | 16 | 2022 |
| Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling V Feldman, A McMillan, K Talwar 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 135 | 2022 |
| Individual privacy accounting via a renyi filter V Feldman, T Zrnic Advances in Neural Information Processing Systems 34, 28080-28091, 2021 | 77 | 2021 |
| Statistical query algorithms for mean vector estimation and stochastic convex optimization V Feldman, C Guzman, S Vempala Mathematics of Operations Research 46 (3), 912-945, 2021 | 111* | 2021 |
| Private stochastic convex optimization: Optimal rates in l1 geometry H Asi, V Feldman, T Koren, K Talwar International Conference on Machine Learning, 393-403, 2021 | 86 | 2021 |
Moritz HardtMax Planck Institute for Intelligent SystemsVerified email at is.mpg.de