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Found 3 papers, 1 papers with code
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Next, we derive a new anomaly estimator using a mixture model, and we prove that our anomaly estimator is asymptotically unbiased regardless of the size of the anomaly family.
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
In this paper, we use random walks to develop a spectral theory for hypergraphs with edge-dependent vertex weights: hypergraphs where every vertex $v$ has a weight $\gamma_e(v)$ for each incident hyperedge $e$ that describes the contribution of $v$ to the hyperedge $e$.
Committee Selection is More Similar Than You Think: Evidence from Avalanche and Stellar
Increased interest in scalable and high-throughput blockchains has led to an explosion in the number of committee selection methods in the literature.
Distributed, Parallel, and Cluster Computing Computer Science and Game Theory Multiagent Systems
