921 citations · 9.3k across the 292 of their papers we have counts for
7 papers · 1 filter
MedLDA: A General Framework of Maximum Margin Supervised Topic Models
Jun Zhu, Amr Ahmed, Eric P. Xing
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents. Existing models apply the likelihood-based esti…
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
Seyoung Kim, Eric P. Xing
We consider the problem of estimating a sparse multi-response regression function, with an application to expression quantitative trait locus (eQTL) mapping, where the goal is to d…
Discrete Temporal Models of Social Networks
Steve Hanneke, Wenjie Fu, Eric Xing
We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs). Many of the methods for…
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields
Mladen Kolar, Eric P. Xing
Network models have been popular for modeling and representing complex relationships and dependencies between observed variables. When data comes from a dynamic stochastic process,…
Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing
In this paper, we present a novel and general framework called {\it Maximum Entropy Discrimination Markov Networks} (MaxEnDNet), which integrates the max-margin structured learning…
Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster
Amr Ahmed, Le Song, Eric P. Xing
Due to the dynamic nature of biological systems, biological networks underlying temporal process such as the development of {\it Drosophila melanogaster} can exhibit significant to…