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Hilal Asi
Hilal Asi
Apple ML Research
Geverifieerd e-mailadres voor apple.com - Homepage
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Stochastic (approximate) proximal point methods: Convergence, optimality, and adaptivity
H Asi, JC Duchi
SIAM Journal on Optimization 29 (3), 2257-2290, 2019
1392019
The importance of better models in stochastic optimization
H Asi, JC Duchi
Proceedings of the National Academy of Sciences 116 (46), 22924-22930, 2019
952019
Private Stochastic Convex Optimization: Optimal Rates in Geometry
H Asi, V Feldman, T Koren, K Talwar
ICML 2021 (Oral), 2021
832021
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
H Asi, JC Duchi
Advances in neural information processing systems 33, 14106-14117, 2020
582020
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
462021
Nearly optimal constructions of PIR and batch codes
H Asi, E Yaakobi
IEEE Transactions on Information Theory 65 (2), 947-964, 2018
392018
Near instance-optimality in differential privacy
H Asi, JC Duchi
arXiv preprint arXiv:2005.10630, 2020
372020
Optimal algorithms for mean estimation under local differential privacy
H Asi, V Feldman, K Talwar
International Conference on Machine Learning, 1046-1056, 2022
342022
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
282021
Adapting to function difficulty and growth conditions in private optimization
H Asi, D Levy, JC Duchi
Advances in Neural Information Processing Systems 34, 19069-19081, 2021
232021
From robustness to privacy and back
H Asi, J Ullman, L Zakynthinou
International Conference on Machine Learning, 1121-1146, 2023
192023
Element level differential privacy: The right granularity of privacy
H Asi, J Duchi, O Javidbakht
arXiv preprint arXiv:1912.04042, 2019
192019
Minibatch stochastic approximate proximal point methods
H Asi, K Chadha, G Cheng, JC Duchi
Advances in neural information processing systems 33, 21958-21968, 2020
162020
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
122023
Finding planted cliques in sublinear time
J Mardia, H Asi, KA Chandrasekher
arXiv preprint arXiv:2004.12002, 2020
92020
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
82024
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
72023
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
72022
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
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
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