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Found 9 papers, 5 papers with code
Evaluating LLP Methods: Challenges and Approaches
Fundamental complications arise because of the existence of different LLP variants, i. e., dependence structures that can exist between items, labels, and bags.
Auditing Black-Box Prediction Models for Data Minimization Compliance
In this paper, we focus on auditing black-box prediction models for compliance with the GDPR’s data minimization principle.
Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2
Despite the popularity of this approach, little attention has been paid to the question of provenance tracing in this context, e. g., determining how much any experimental observation in the input contributes to the score of every prediction.
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy
We show that for an optimal classifier these three properties are in general incompatible, and we explain what common properties of data make them incompatible.
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems
We take as our model system the matrix factorization approach to recommendation, and we propose a set of measures to capture the polarization or fairness of recommendations.
Matrix completion with queries
Order&Extend is able identify and alleviate insufficient information by judiciously querying a small number of additional entries.
Targeted matrix completion
Classical approaches to matrix completion assume that the input partially-observed matrix is low rank.
Multidimensional Scaling in the Poincare Disk
Multidimensional scaling (MDS) is a class of projective algorithms traditionally used in Euclidean space to produce two- or three-dimensional visualizations of datasets of multidimensional points or point distances.
Efficient Algorithms for Large-Scale Topology Discovery
We measure two kinds of redundancy in probing (intra- and inter-monitor) and show that both kinds are important.
Networking and Internet Architecture
