7 citations · 11 across the 5 of their papers we have counts for
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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…
stat.ML2020
Information Theoretic Lower Bounds for Feed-Forward Fully-Connected Deep Networks
Xiaochen Yang, Jean Honorio
In this paper, we study the sample complexity lower bounds for the exact recovery of parameters and for a positive excess risk of a feed-forward, fully-connected neural network for…
stat.ML2020
Fairness constraints can help exact inference in structured prediction
Kevin Bello, Jean Honorio
Many inference problems in structured prediction can be modeled as maximizing a score function on a space of labels, where graphs are a natural representation to decompose the tota…