Stochastic Block Models
PulseAugur coverage of Stochastic Block Models — every cluster mentioning Stochastic Block Models across labs, papers, and developer communities, ranked by signal.
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New adaptive strategies improve community recovery in stochastic block models
Researchers have developed new strategies for community recovery in stochastic block models, focusing on scenarios with limited and noisy data access. The study introduces adaptive querying methods that can achieve exac…
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New papers explore optimal transport for ML inference
Two new arXiv papers explore advanced inference techniques in machine learning. One paper benchmarks likelihood-free inference methods, evaluating their performance with heavy-tailed and discrete data. The other paper b…
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New algorithms tackle node-private community estimation in graphs
Researchers have developed new algorithms for community recovery in stochastic block models that incorporate node differential privacy. These methods are designed to be stable against node-wise changes in graph structur…