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stat.ML2021
On the Fundamental Limits of Exact Inference in Structured Prediction
Hanbyul Lee, Kevin Bello, Jean Honorio
Inference is a main task in structured prediction and it is naturally modeled with a graph. In the context of Markov random fields, noisy observations corresponding to nodes and ed…
stat.ML2021
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
Jiajun Liang, Chuyang Ke, Jean Honorio
In this paper, we study the information theoretic bounds for exact recovery in sub-hypergraph models for community detection. We define a general model called the uniform sub-h…