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20222026
most citedAccelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Data-Driven Assessment of Concrete Mixture Compositions on Chloride Transport via Standalone Machine Learning Algorithms

Mojtaba Aliasghar-Mamaghani, Mohammadreza Khalafi

This paper employs a data-driven approach to determine the impact of concrete mixture compositions on the temporal evolution of chloride in concrete structures. This is critical fo…

math.OC2025

Regularized Operator Extrapolation Method For Stochastic Bilevel Variational Inequality Problems

Mohammad Khalafi, Digvijay Boob

The bilevel variational inequality (BVI) problem is a general model that captures various optimization problems, including VI-constrained optimization and equilibrium problems with…

math.OC2024

Optimal Primal-Dual Algorithm with Last iterate Convergence Guarantees for Stochastic Convex Optimization Problems

Digvijay Boob, Mohammad Khalafi

This paper proposes a novel first-order algorithm that solves composite nonsmooth and stochastic convex optimization problem with function constraints. Most of the works in the lit…

math.OC2023

First-order methods for Stochastic Variational Inequality problems with Function Constraints

Digvijay Boob, Qi Deng, Mohammad Khalafi

The monotone Variational Inequality (VI) is a general model with important applications in various engineering and scientific domains. In numerous instances, the VI problems are ac…

math.OC2022★ 5 cited

Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems

Mohammad Khalafi, Digvijay Boob

We investigate a primal-dual (PD) method for the saddle point problem (SPP) that uses a linear approximation of the primal function instead of the standard proximal step, resulting…