Our paper “Maximum regularized likelihood estimators: A general prediction theory and applications” has now been published here.
Author Archives: LedererLab
Prediction Theory for MRLE
Our paper “Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications” has been accepted in STAT. Congratulations, Rui! 😎
First Theoretical Bounds for the TREX
Our paper “Prediction Error Bounds for Linear Regression With the TREX” has been accepted in TEST. Thanks to Jacob, Irina, and Christian!
Non-convex Optimization
Paper on Oracle Inequalities Accepted
Our paper “Oracle Inequalities for High-dimensional Prediction” has been accepted for publication in the Bernoulli journal. Find an updated version here. Congratulations to Lu Yu, then Master’s student at UW and now PhD student at University of Toronto, and Irina Gaynanova, Assistant Professor at Texas A&M.
Prediction Error Bounds for Linear Regression With the TREX
We have uploaded a new paper that contains theoretical insights about our TREX here on arXiv. Thanks to my collaborators Jacob, Irina, and Christian!
Upcoming exam talks
We have three talks coming up to bring some of our team members closer to their educational goals.
• Thursday, November 30, 2017, 1:30PM, Health Science Building E214 — Yunqi Bu PhD general exam
• Monday, December 4, 2017, 11:30AM, Padelford Hall C14A — David Gold Master’s thesis defense
• Wednesday, December 6, 2017, 10:30AM, Padelford Hall C301 — Rui Zhuang PhD general exam
Come if you can.
