Publications (4)
A Non-parametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US
Yuki Shiraito, James Lo, Santiago Olivella
A common approach when studying the quality of representation involves comparing the latent preferences of voters and legislators, commonly obtained by fitting an item-response the…
Adopting Robustness and Optimality in Fitting and Learning
Zhiguang Wang, Tim Oates, James Lo
We generalized a modified exponentialized estimator by pushing the robust-optimal (RO) index to for achieving robustness to outliers by optimizing a quasi-Minimin fu…
Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics
Yimin Chen, Brian Fricke, Bo Shen +10
Fault detection and diagnosis (FDD) technology is essential for improving HVAC system reliability, energy efficiency, and maintenance effectiveness. However, effective deployment o…
Adaptive Normalized Risk-Averting Training For Deep Neural Networks
Zhiguang Wang, Tim Oates, James Lo
This paper proposes a set of new error criteria and learning approaches, Adaptive Normalized Risk-Averting Training (ANRAT), to attack the non-convex optimization problem in traini…