17 citations · 37 across the 3 of their papers we have counts for
4 papers
OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms
Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
Hyperparameter tuning in machine learning algorithms is a computationally challenging task due to the large-scale nature of the problem. In order to develop an efficient strategy f…
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres, Luiz Manella Pereira, M. Hadi Amini
Optimal Transport (OT) theory has seen an increasing amount of attention from the computer science community due to its potency and relevance in modeling and machine learning. It i…
An iterative regularized mirror descent method for ill-posed nondifferentiable stochastic optimization
Mostafa Amini, Farzad Yousefian
A wide range of applications arising in machine learning and signal processing can be cast as convex optimization problems. These problems are often ill-posed, i.e., the optimal so…
An Iterative Regularized Incremental Projected Subgradient Method for a Class of Bilevel Optimization Problems
Mostafa Amini, Farzad Yousefian
We study a class of bilevel convex optimization problems where the goal is to find the minimizer of an objective function in the upper level, among the set of all optimal solutions…