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Hilal Asi
Hilal Asi
Apple ML Research
Zweryfikowany adres z apple.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Stochastic (approximate) proximal point methods: Convergence, optimality, and adaptivity
H Asi, JC Duchi
SIAM Journal on Optimization 29 (3), 2257-2290, 2019
1262019
The importance of better models in stochastic optimization
H Asi, JC Duchi
Proceedings of the National Academy of Sciences 116 (46), 22924-22930, 2019
842019
Private Stochastic Convex Optimization: Optimal Rates in Geometry
H Asi, V Feldman, T Koren, K Talwar
ICML 2021 (Oral), 2021
692021
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
H Asi, JC Duchi
Advances in neural information processing systems 33, 14106-14117, 2020
472020
Private adaptive gradient methods for convex optimization
H Asi, J Duchi, A Fallah, O Javidbakht, K Talwar
International Conference on Machine Learning, 383-392, 2021
392021
Nearly optimal constructions of PIR and batch codes
H Asi, E Yaakobi
IEEE Transactions on Information Theory 65 (2), 947-964, 2018
372018
Near instance-optimality in differential privacy
H Asi, JC Duchi
arXiv preprint arXiv:2005.10630, 2020
302020
Stochastic bias-reduced gradient methods
H Asi, Y Carmon, A Jambulapati, Y Jin, A Sidford
Advances in Neural Information Processing Systems 34, 10810-10822, 2021
212021
Optimal algorithms for mean estimation under local differential privacy
H Asi, V Feldman, K Talwar
International Conference on Machine Learning, 1046-1056, 2022
202022
Element level differential privacy: The right granularity of privacy
H Asi, J Duchi, O Javidbakht
arXiv preprint arXiv:1912.04042, 2019
202019
Adapting to function difficulty and growth conditions in private optimization
H Asi, D Lévy, JC Duchi
Advances in Neural Information Processing Systems 34, 19069-19081, 2021
182021
Minibatch stochastic approximate proximal point methods
H Asi, K Chadha, G Cheng, JC Duchi
Advances in neural information processing systems 33, 21958-21968, 2020
132020
From robustness to privacy and back
H Asi, J Ullman, L Zakynthinou
arXiv preprint arXiv:2302.01855, 2023
92023
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
72023
Finding planted cliques in sublinear time
J Mardia, H Asi, KA Chandrasekher
arXiv preprint arXiv:2004.12002, 2020
72020
Modeling simple structures and geometry for better stochastic optimization algorithms
H Asi, JC Duchi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
62019
How many labelers do you have? A closer look at gold-standard labels
C Cheng, H Asi, J Duchi
arXiv preprint arXiv:2206.12041, 2022
52022
Private optimization in the interpolation regime: faster rates and hardness results
H Asi, K Chadha, G Cheng, J Duchi
International Conference on Machine Learning, 1025-1045, 2022
42022
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
H Asi, V Feldman, T Koren, K Talwar
arXiv preprint arXiv:2302.14154, 2023
32023
Fast Optimal Locally Private Mean Estimation via Random Projections
H Asi, V Feldman, J Nelson, HL Nguyen, K Talwar
arXiv preprint arXiv:2306.04444, 2023
22023
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