Enayat Ullah

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Algorithmic Stability

Differentially Private

Convex Optimization

Semidefinite Program

Top Venues

Trans. Mach. Learn. Res.

Publications

Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. ALT (2024)
Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
Public-data Assisted Private Stochastic Optimization: Power and Limitations. CoRR (2024)
Enayat Ullah, Raman Arora
Generalization bounds for Kernel Canonical Correlation Analysis. Trans. Mach. Learn. Res. 2023 (2023)
Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman
Clustering using Approximate Nearest Neighbour Oracles. Trans. Mach. Learn. Res. 2023 (2023)
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. ICML (2023)
Michael Menart, Enayat Ullah, Raman Arora, Raef Bassily, Cristóbal Guzmán
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. CoRR (2023)
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
Private Federated Learning with Autotuned Compression. ICML (2023)
Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang, Raman Arora
Optimistic Rates for Multi-Task Representation Learning. NeurIPS (2023)
Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
Private Federated Learning with Autotuned Compression. CoRR (2023)
Enayat Ullah, Raman Arora
From Adaptive Query Release to Machine Unlearning. ICML (2023)
Enayat Ullah, Raman Arora
From Adaptive Query Release to Machine Unlearning. CoRR (2023)
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
Adversarial Robustness is at Odds with Lazy Training. NeurIPS (2022)
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Differentially Private Generalized Linear Models Revisited. CoRR (2022)
Raman Arora, Raef Bassily, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Differentially Private Generalized Linear Models Revisited. NeurIPS (2022)
Raman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. CoRR (2022)
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
Adversarial Robustness is at Odds with Lazy Training. CoRR (2022)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. CoRR (2021)
Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora
Machine Unlearning via Algorithmic Stability. COLT (2021)
Raman Arora, Teodor V. Marinov, Enayat Ullah
Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. CoRR (2020)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML (2020)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR (2020)
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
Improved Algorithms for Time Decay Streams. APPROX-RANDOM (2019)
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
Communication-efficient distributed SGD with Sketching. CoRR (2019)
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
Improved Algorithms for Time Decay Streams. CoRR (2019)
Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Vladimir Braverman, Ion Stoica, Raman Arora
Communication-efficient Distributed SGD with Sketching. NeurIPS (2019)
Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora
Streaming Kernel PCA with Õ(√n) Random Features. CoRR (2018)
Amitabh Basu, Soham De, Anirbit Mukherjee, Enayat Ullah
Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders. CoRR (2018)
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS (2018)