Picture for Ahmet Alacaoglu

Ahmet Alacaoglu

Towards Weaker Variance Assumptions for Stochastic Optimization

Add code
Apr 14, 2025
Viaarxiv icon

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints

Add code
Apr 10, 2025
Viaarxiv icon

Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity

Add code
Feb 07, 2024
Viaarxiv icon

Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints

Add code
Nov 01, 2023
Viaarxiv icon

Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions

Add code
Oct 04, 2023
Viaarxiv icon

Beyond the Golden Ratio for Variational Inequality Algorithms

Add code
Dec 28, 2022
Viaarxiv icon

Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization

Add code
Mar 29, 2022
Figure 1 for Convergence and Complexity of Stochastic Subgradient Methods with Dependent Data for Nonconvex Optimization
Viaarxiv icon

On the Complexity of a Practical Primal-Dual Coordinate Method

Add code
Jan 19, 2022
Viaarxiv icon

Stochastic Variance Reduction for Variational Inequality Methods

Add code
Feb 16, 2021
Figure 1 for Stochastic Variance Reduction for Variational Inequality Methods
Figure 2 for Stochastic Variance Reduction for Variational Inequality Methods
Figure 3 for Stochastic Variance Reduction for Variational Inequality Methods
Figure 4 for Stochastic Variance Reduction for Variational Inequality Methods
Viaarxiv icon

Random extrapolation for primal-dual coordinate descent

Add code
Jul 13, 2020
Figure 1 for Random extrapolation for primal-dual coordinate descent
Figure 2 for Random extrapolation for primal-dual coordinate descent
Figure 3 for Random extrapolation for primal-dual coordinate descent
Figure 4 for Random extrapolation for primal-dual coordinate descent
Viaarxiv icon