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Found 7 papers, 2 papers with code
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
The Rashomon Effect describes the following phenomenon: for a given dataset there may exist many models with equally good performance but with different solution strategies.
Multilevel Geometric Optimization for Regularised Constrained Linear Inverse Problems
We present a geometric multilevel optimization approach that smoothly incorporates box constraints.
Explainable Machine Learning with Prior Knowledge: An Overview
This survey presents an overview of integrating prior knowledge into machine learning systems in order to improve explainability.
On Fairness in Voting Consensus Protocols
Voting algorithms have been widely used as consensus protocols in the realization of fault-tolerant systems.
Fairness
Distributed, Parallel, and Cluster Computing
Probability
Estimations of means and variances in a Markov linear model
Multivariate regression models and ANOVA are probably the most frequently applied methods of all statistical analyses.
Applications Statistics Theory Statistics Theory 62H12, 62J99, 62M05, 60F05, 60J20
Fast Probabilistic Consensus with Weighted Votes
The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure.
Distributed, Parallel, and Cluster Computing
On Elo based prediction models for the FIFA Worldcup 2018
These models for the prediction of the FIFA World Cup 2018 are fitted on all football games on neutral ground of the participating teams since 2010.
Applications
