引用次数
引用: 888
H-指数: 9
I10-指数 : 9
出版物: 23
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Raman Arora , Poorya Mianjy , Teodor Vanislavov Marinov , Enayat Ullah
neural information processing systems 31 7311 -7321
2
2018
Convergence Guarantees for RMSProp and ADAM in Non-Convex Optimization and an Empirical Comparison to Nesterov Acceleration
Soham De , Anirbit Mukherjee , Enayat Ullah
arXiv: Learning
66
2018
Communication-efficient Distributed SGD with Sketching
Vladimir braverman , Nikita Ivkin , Raman Arora , Ion Stoica
neural information processing systems 32 13144 -13154
33
2019
Communication-Efficient Federated Learning with Sketching
Vladimir Braverman , Nikita Ivkin , Raman Arora , Ion Stoica
international conference on machine learning 1
2020
FetchSGD: Communication-Efficient Federated Learning with Sketching.
Daniel Rothchild , Ashwinee Panda , Enayat Ullah , Nikita Ivkin
international conference on machine learning 8253 -8265
172
2020
Adversarial robustness is at odds with lazy training
Yunjuan Wang , Enayat Ullah , Poorya Mianjy , Raman Arora
Advances in Neural Information Processing Systems 35 6505 -6516
3
2022
Machine unlearning via algorithmic stability
Enayat Ullah , Tung Mai , Anup Rao , Ryan A Rossi
Conference on Learning Theory 4126 -4142
70
2021
Machine unlearning and retraining of a machine learning model based on a modified training dataset
Enayat Ullah , Anup Bandigadi Rao , Tung Mai , Ryan A Rossi
2023
Private federated learning with autotuned compression
Enayat Ullah , Christopher A Choquette-Choo , Peter Kairouz , Sewoong Oh
International Conference on Machine Learning 34668 -34708
3
2023
Improved algorithms for time decay streams
Vladimir Braverman , Harry Lang , Enayat Ullah , Samson Zhou
arXiv preprint arXiv:1907.07574
9
2019
Clustering using Approximate Nearest Neighbour Oracles
Enayat Ullah , Harry Lang , Raman Arora , Vladimir Braverman
Transactions on machine learning research
1
2023
Optimistic rates for multi-task representation learning
Austin Watkins , Enayat Ullah , Thanh Nguyen-Tang , Raman Arora
Advances in Neural Information Processing Systems 36
3
2024
Faster rates of convergence to stationary points in differentially private optimization
Raman Arora , Raef Bassily , Tomás González , Cristóbal A Guzmán
International Conference on Machine Learning 1060 -1092
22
2023
Differentially private generalized linear models revisited
Raman Arora , Raef Bassily , Cristóbal Guzmán , Michael Menart
Advances in Neural Information Processing Systems 35 22505 -22517
17
2022
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives
Raman Arora , Teodor V Marinov , Enayat Ullah
arXiv preprint arXiv:2002.09609
3
2020
Generalization bounds for Kernel Canonical Correlation Analysis
Enayat Ullah , Raman Arora
Transactions on Machine Learning Research
2
2023
From Adaptive Query Release to Machine Unlearning
Enayat Ullah , Raman Arora
2
2023
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
Michael Menart , Enayat Ullah , Raman Arora , Raef Bassily
International Conference on Algorithmic Learning Theory 868 -906
1
2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations
Enayat Ullah , Michael Menart , Raef Bassily , Cristóbal Guzmán
arXiv preprint arXiv:2403.03856
2024
Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders
Amitabh Basu , Soham De , Anirbit Mukherjee , Enayat Ullah
arXiv preprint arXiv:1807.06766
143
2018