Ene, Alina

19 publications

ICML 2025 Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy Nguyen, David Woodruff, Peilin Zhong

AAAI 2025 Online and Streaming Algorithms for Constrained K-Submodular Maximization Fabian Christian Spaeh, Alina Ene, Huy L. Nguyen

NeurIPS 2025 Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights Alina Ene, Ta Duy Nguyen, Adrian Vladu

ICML 2024 Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems Ta Duy Nguyen, Alina Ene

ICML 2023 High Probability Convergence of Stochastic Gradient Methods Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise Ta Duy Nguyen, Thien H Nguyen, Alina Ene, Huy Nguyen

ICLR 2023 On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: An Improved Analysis Ta Duy Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 Online Ad Allocation with Predictions Fabian Spaeh, Alina Ene

ICML 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

AAAI 2022 Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence Alina Ene, Huy Le Nguyen

ICML 2022 Streaming Algorithm for Monotone K-Submodular Maximization with Cardinality Constraints Alina Ene, Huy Nguyen

AAAI 2021 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities Alina Ene, Huy L. Nguyen, Adrian Vladu

AAAI 2021 Projection-Free Bandit Optimization with Privacy Guarantees Alina Ene, Huy L. Nguyen, Adrian Vladu

ICML 2020 Parallel Algorithm for Non-Monotone DR-Submodular Maximization Alina Ene, Huy Nguyen

ICML 2019 Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares Alina Ene, Adrian Vladu

NeurIPS 2017 Decomposable Submodular Function Minimization: Discrete and Continuous Alina Ene, Huy Nguyen, László A. Végh

ICML 2015 Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions Alina Ene, Huy Nguyen

ICML 2015 The Power of Randomization: Distributed Submodular Maximization on Massive Datasets Rafael Barbosa, Alina Ene, Huy Nguyen, Justin Ward