7 papers
Efficient Algorithms for Influence Maximization in General Models and Observed Cascades
Fabian Spaeh, Themistoklis Haris, Alina Ene +1
We study influence maximization in general stochastic models, the observed cascades model, and the independent cascade (IC) model. For general stochastic models with only black-box…
Solving Positive Linear Programs with Differential Privacy
Alina Ene, Huy Le Nguyen, Ta Duy Nguyen +1
We study differentially private approximation algorithms for positive linear programs (LPs with nonnegative coefficients and variables), focusing on the fundamental families of pac…
Adaptive Power Iteration Method for Differentially Private PCA
Ta Duy Nguyen, Alina Ene, Huy Le Nguyen
We study -differentially private algorithms for the problem of approximately computing the top singular vector of a matrix where ea…
Quasi-Self-Concordant Optimization with Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
In this paper, we study the problem for a quasi-self-concordant function , where are $…
Improved Regression via Iteratively Reweighted Least Squares
Alina Ene, Ta Duy Nguyen, Adrian Vladu
We introduce fast algorithms for solving regression problems using the iteratively reweighted least squares (IRLS) method. Our approach achieves state-of-the-art iterati…
Solving Linear Programs with Differential Privacy
Alina Ene, Huy Le Nguyen, Ta Duy Nguyen +1
We study the problem of solving linear programs of the form , with differential privacy. For homogeneous LPs , we give an efficient -differentiall…