1.3k citations · 4.9k across the 150 of their papers we have counts for
3 papers · 2 filters
Quantized Matrix Completion for Personalized Learning
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk
The recently proposed SPARse Factor Analysis (SPARFA) framework for personalized learning performs factor analysis on ordinal or binary-valued (e.g., correct/incorrect) graded lear…
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
Machine learning offers novel ways and means to design personalized learning systems wherein each student's educational experience is customized in real time depending on their bac…
Active Learning for Undirected Graphical Model Selection
Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk
This paper studies graphical model selection, i.e., the problem of estimating a graph of statistical relationships among a collection of random variables. Conventional graphical mo…