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03/20/2022
Convergence rates of the stochastic alternating algorithm for bi-objective optimization
Stochastic alternating algorithms for bi-objective optimization are cons...
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10/01/2021
Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS
Two-level stochastic optimization formulations have become instrumental ...
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08/13/2021
The Sharpe predictor for fairness in machine learning
In machine learning (ML) applications, unfair predictions may discrimina...
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05/29/2021
A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering
In the application of data clustering to human-centric decision-making s...
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08/03/2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
In the application of machine learning to real-life decision-making syst...
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12/22/2019
Modeling Hessian-vector products in nonlinear optimization: New Hessian-free methods
In this paper, we suggest two ways of calculating interpolation models f...
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07/10/2019