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math.OC2025
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 $…
math.OC2022
High Probability Convergence for Accelerated Stochastic Mirror Descent
Alina Ene, Huy L. Nguyen
In this work, we describe a generic approach to show convergence with high probability for stochastic convex optimization. In previous works, either the convergence is only in expe…
math.OC2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
Zijian Liu, Ta Duy Nguyen, Alina Ene +1
In this paper, we study the finite-sum convex optimization problem focusing on the general convex case. Recently, the study of variance reduced (VR) methods and their accelerated v…