ForestPrune: Compact Depth-Controlled Tree Ensembles. - Brian Liu 002; Rahul Mazumder (CoRR, 2022)

ForestPrune: Compact Depth-Pruned Tree Ensembles. - Brian Liu 002; Rahul Mazumder (AISTATS, 2023)

Fire: An Optimization Approach for Fast Interpretable Rule Extraction. - Brian Liu 002; Rahul Mazumder (KDD, 2023)

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML. - Brian Liu 002; Rahul Mazumder (KDD, 2024)

Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests. - Brian Liu 002; Rahul Mazumder (CoRR, 2024)

Modeling the Risk of In-Person Instruction During the COVID-19 Pandemic. - Brian Liu 002; Yujia Zhang; Shane G. Henderson; David B. Shmoys; Peter I. Frazier (INFORMS J. Appl. Anal., 2024)

MOSS: Multi-Objective Optimization for Stable Rule Sets. - Brian Liu 002; Rahul Mazumder (CoRR, 2025)