3 papers
stat.ML2018
High-Dimensional Inference for Cluster-Based Graphical Models
Carson Eisenach, Florentina Bunea, Yang Ning +1
Motivated by modern applications in which one constructs graphical models based on a very large number of features, this paper introduces a new class of cluster-based graphical mod…
cs.LG2018
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications
Carson Eisenach, Haichuan Yang, Ji Liu +1
Many complex domains, such as robotics control and real-time strategy (RTS) games, require an agent to learn a continuous control. In the former, an agent learns a policy over $\ma…
stat.ML2018
Efficient, Certifiably Optimal Clustering with Applications to Latent Variable Graphical Models
Carson Eisenach, Han Liu
Motivated by the task of clustering either variables or points into groups, we investigate efficient algorithms to solve the Peng-Wei (P-W) -means semi-definite prog…