All these factors motivate the authors to propose Bilevel Fractional/Quadratic Green Transportation Problem with uncertain cost and multi-choice supply and demand parameters (BFQGMCTP). The innovation ...
This code supports the LM experiments from the paper: Adaptive Training Distributions with Scalable Online Bilevel Optimization. David Grangier, Pierre Ablin and Awni Hannun. Arxiv 2311.11973, 2023.
Current bias mitigation techniques often result in information loss and inadequate balance between accuracy and fairness. To address this, we propose a novel methodology based on bilevel optimization ...
Bilevel optimization (BO) is useful for solving a variety of important machine learning problems including but not limited to hyperparameter optimization, meta-learning, continual learning, and ...
To tackle these challenges, we develop a bilevel polynomial optimization (Bloom) framework. Bloom not only provides a powerful mathematical modeling framework, underpinned by theoretical support, for ...