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cs.LG2024
Fair and Accurate Regression: Strong Formulations and Algorithms
Anna Deza, Andrés Gómez, Alper Atamtürk
This paper introduces mixed-integer optimization methods to solve regression problems that incorporate fairness metrics. We propose an exact formulation for training fair regressio…
cs.LG2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Alicia Y. Tsai, Juliette Decugis, Laurent El Ghaoui +1
Implicit models are a general class of learning models that forgo the hierarchical layer structure typical in neural networks and instead define the internal states based on an ``e…