6 citations · 6 across the 4 of their papers we have counts for
5 papers
Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees
Pekka Malo, Lauri Viitasaari, Patrik Nummi +3
Population-based optimizers combine update rules such as mutation, selection, and recombination. When one rule changes, it is often unclear which convergence guarantees survive or…
A Review of Bilevel Optimization: Methods, Emerging Applications, and Recent Advancements
Dhaval Pujara, Ankur Sinha
This paper presents a comprehensive review of techniques proposed in the literature for solving bilevel optimization problems encountered in various real-life applications. Bilevel…
AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving
Ankur Sinha, Shobhit Arora, Dhaval Pujara
This study presents AutoOpt-11k, a unique image dataset of over 11,000 handwritten and printed mathematical optimization models corresponding to single-objective, multi-objective,…
Decomposition of Difficulties in Complex Optimization Problems Using a Bilevel Approach
Ankur Sinha, Dhaval Pujara, Hemant Kumar Singh
Practical optimization problems may contain different kinds of difficulties that are often not tractable if one relies on a particular optimization method. Different optimization a…
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
Ankur Sinha, Paritosh Pankaj
In this paper, we formulate the hyperparameter tuning problem in machine learning as a bilevel program. The bilevel program is solved using a micro genetic algorithm that is enhanc…