4 papers
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
Tong Yao, Shreyas Sundaram
We consider the problem of classification with a (peer-to-peer) network of heterogeneous and partially informative agents, each receiving local data generated by an underlying true…
Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption
Tong Yao, Shreyas Sundaram
Gaussian graphical models are widely used to represent correlations among entities but remain vulnerable to data corruption. In this work, we introduce a modified trimmed-inner-pro…
Robust Online and Distributed Mean Estimation Under Adversarial Data Corruption
Tong Yao, Shreyas Sundaram
We study robust mean estimation in an online and distributed scenario in the presence of adversarial data attacks. At each time step, each agent in a network receives a potentially…
Distributed Estimation of Sparse Inverse Covariances
Tong Yao, Shreyas Sundaram
Learning the relationships between various entities from time-series data is essential in many applications. Gaussian graphical models have been studied to infer these relationship…