Streaming Kernel PCA with tilde{O}( sqrt{n}) Random Features. - Enayat Ullah; Poorya Mianjy; Teodor Vanislavov Marinov; Raman Arora (NeurIPS, 2018)

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 (CoRR, 2018)

Streaming Kernel PCA with Õ(√n) Random Features. - Enayat Ullah; Poorya Mianjy; Teodor V. Marinov; Raman Arora (CoRR, 2018)

Improved Algorithms for Time Decay Streams. - Vladimir Braverman; Harry Lang; Enayat Ullah; Samson Zhou (APPROX-RANDOM, 2019)

Communication-efficient Distributed SGD with Sketching. - Nikita Ivkin; Daniel Rothchild; Enayat Ullah; Vladimir Braverman; Ion Stoica; Raman Arora (NeurIPS, 2019)

FetchSGD: Communication-Efficient Federated Learning with Sketching. - Daniel Rothchild; Ashwinee Panda; Enayat Ullah; Nikita Ivkin; Ion Stoica; Vladimir Braverman; Joseph Gonzalez 001; Raman Arora (ICML, 2020)

Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives. - Raman Arora; Teodor V. Marinov; Enayat Ullah (CoRR, 2020)

Machine Unlearning via Algorithmic Stability. - Enayat Ullah; Tung Mai; Anup Rao 002; Ryan A. Rossi; Raman Arora (COLT, 2021)

Differentially Private Generalized Linear Models Revisited. - Raman Arora; Raef Bassily; Cristóbal Guzmán; Michael Menart; Enayat Ullah (NeurIPS, 2022)

Adversarial Robustness is at Odds with Lazy Training. - Yunjuan Wang; Enayat Ullah; Poorya Mianjy; Raman Arora (NeurIPS, 2022)

Faster Rates of Convergence to Stationary Points in Differentially Private Optimization. - Raman Arora; Raef Bassily; Tomás González; Cristóbal Guzmán; Michael Menart; Enayat Ullah (ICML, 2023)

From Adaptive Query Release to Machine Unlearning. - Enayat Ullah; Raman Arora (ICML, 2023)

Private Federated Learning with Autotuned Compression. - Enayat Ullah; Christopher A. Choquette-Choo; Peter Kairouz; Sewoong Oh (ICML, 2023)

Optimistic Rates for Multi-Task Representation Learning. - Austin Watkins; Enayat Ullah; Thanh Nguyen-Tang; Raman Arora (NeurIPS, 2023)

Generalization bounds for Kernel Canonical Correlation Analysis. - Enayat Ullah; Raman Arora (Trans. Mach. Learn. Res., 2023)

Clustering using Approximate Nearest Neighbour Oracles. - Enayat Ullah; Harry Lang; Raman Arora; Vladimir Braverman (Trans. Mach. Learn. Res., 2023)

Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates. - Michael Menart; Enayat Ullah; Raman Arora; Raef Bassily; Cristóbal Guzmán (ALT, 2024)

Public-data Assisted Private Stochastic Optimization: Power and Limitations. - Enayat Ullah; Michael Menart; Raef Bassily; Cristóbal Guzmán; Raman Arora (NeurIPS, 2024)

Adversarially Robust Multi-task Representation Learning. - Austin Watkins; Thanh Nguyen-Tang; Enayat Ullah; Raman Arora (NeurIPS, 2024)

Synthetic Tabular Data: Methods, Attacks and Defenses. - Graham Cormode; Samuel Maddock; Enayat Ullah; Shripad Gade (CoRR, 2025)