
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Machine learning is being integrated into a growing number of critical s...
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Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment
In order to be useful, visualizations need to be interpretable. This pap...
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A note on using performance and data profilesfor training algorithms
It is shown how to use the performance and data profile benchmarking too...
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Test them all, is it worth it? A ground truth comparison of configuration sampling strategies
Many approaches for testing configurable software systems start from the...
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Optimality of orders one to three and beyond: characterization and evaluation complexity in constrained nonconvex optimization
Necessary conditions for highorder optimality in smooth nonlinear const...
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Cooccurrence simplicial complexes in mathematics: identifying the holes of knowledge
In the last years complex networks tools contributed to provide insights...
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ML + FV = ? A Survey on the Application of Machine Learning to Formal Verification
Formal Verification (FV) and Machine Learning (ML) can seem incompatible...
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Minimizing convex quadratic with variable precision Krylov methods
Iterative algorithms for the solution of convex quadratic optimization p...
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Sharp worstcase evaluation complexity bounds for arbitraryorder nonconvex optimization with inexpensive constraints
We provide sharp worstcase evaluation complexity bounds for nonconvex m...
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Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables
Classification, the process of assigning a label (or class) to an observ...
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Deterministic and stochastic inexact regularization algorithms for nonconvex ptimization with optimal complexity
A regularization algorithm using inexact function values and inexact der...
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Deterministic and stochastic inexact regularization algorithms for nonconvex optimization with optimal complexity
A regularization algorithm using inexact function values and inexact der...
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A note on solving nonlinear optimization problems in variable precision
This short note considers an efficient variant of the trustregion algor...
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Bernstein Concentration Inequalities for Tensors via Einstein Products
A generalization of the Bernstein matrix concentration inequality to ran...
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On selforganised aggregation dynamics in swarms of robots with informed robots
In this paper, we use simulated swarms of robots to further explore the ...
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Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization
A regularization algorithm using inexact function values and inexact der...
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On Some Resampling Procedures with the Empirical Beta Copula
The empirical beta copula is a simple but effective smoother of the empi...
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Exploiting variable precision in GMRES
We describe how variable precision floating point arithmetic can be used...
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Antiunification in Constraint Logic Programming
Antiunification refers to the process of generalizing two (or more) goa...
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Towards an Effective ZeroDay Attack Detection Using OutlierBased Deep Learning Techniques
Machine Learning (ML) and Deep Learning (DL) have been broadly used for ...
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UNamur
The University of Namur or Université de Namur, in Namur, is a Jesuit, Catholic private university in the French Community of Belgium.