Enayat Ullah

According to our database1, Enayat Ullah authored at least 18 papers between 2018 and 2024.

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Bibliography

2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations.
CoRR, 2024

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates.
Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023
Clustering using Approximate Nearest Neighbour Oracles.
Trans. Mach. Learn. Res., 2023

Generalization bounds for Kernel Canonical Correlation Analysis.
Trans. Mach. Learn. Res., 2023

Optimistic Rates for Multi-Task Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Private Federated Learning with Autotuned Compression.
Proceedings of the International Conference on Machine Learning, 2023

From Adaptive Query Release to Machine Unlearning.
Proceedings of the International Conference on Machine Learning, 2023

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization.
Proceedings of the International Conference on Machine Learning, 2023

2022
Adversarial Robustness is at Odds with Lazy Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Generalized Linear Models Revisited.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Machine Unlearning via Algorithmic Stability.
Proceedings of the Conference on Learning Theory, 2021

2020
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives.
CoRR, 2020

FetchSGD: Communication-Efficient Federated Learning with Sketching.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Communication-efficient Distributed SGD with Sketching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improved Algorithms for Time Decay Streams.
Proceedings of the Approximation, 2019

2018
Streaming Kernel PCA with Õ(√n) Random Features.
CoRR, 2018

Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders.
CoRR, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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