Brian Liu

12 papers A* 2A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Extracting Interpretable Models from Tree Ensembles: Computational and Statistical Perspectives.
CoRR
Brian Liu, Rahul Mazumder, Peter Radchenko
2025 — conf
MOSS: Multi-Objective Optimization for Stable Rule Sets.
KDD (2)
Brian Liu, Rahul Mazumder
2025 J jnl
MOSS: Multi-Objective Optimization for Stable Rule Sets.
CoRR
Brian Liu, Rahul Mazumder
2025 J jnl
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests.
J. Mach. Learn. Res.
Brian Liu, Rahul Mazumder
2024 A* conf
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML.
KDD
Brian Liu, Rahul Mazumder
2024 J jnl
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML.
CoRR
Brian Liu, Rahul Mazumder
2024 J jnl
Modeling the Risk of In-Person Instruction During the COVID-19 Pandemic.
INFORMS J. Appl. Anal.
Brian Liu, Yujia Zhang, Shane G. Henderson, David B. Shmoys, Peter I. Frazier
2024 J jnl
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests.
CoRR
Brian Liu, Rahul Mazumder
2023 J jnl
FIRE: An Optimization Approach for Fast Interpretable Rule Extraction.
CoRR
Brian Liu, Rahul Mazumder
2023 A* conf
Fire: An Optimization Approach for Fast Interpretable Rule Extraction.
KDD
Brian Liu, Rahul Mazumder
2023 A conf
ForestPrune: Compact Depth-Pruned Tree Ensembles.
AISTATS
Brian Liu, Rahul Mazumder
2022 J jnl
ForestPrune: Compact Depth-Controlled Tree Ensembles.
CoRR
Brian Liu, Rahul Mazumder