Ferdinando Fioretto

Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming

Finding ε and δ of Traditional Disclosure Control Systems

Learning Constrained Optimization with Deep Augmented Lagrangian Methods

End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages

Disparate Impact on Group Accuracy of Linearization for Private Inference

Projected Generative Diffusion Models for Constraint Satisfaction

Finding∈ and δ of Statistical Disclosure Control Systems