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portfolio

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Portfolio item number 2

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publications

Modeling for COVID-19 College Reopening Decisions: Cornell, A Case Study

Published in Proceedings of the National Academy of Sciences, 2021

Recommended citation: P. Frazier, J. M. Cashore, N. Duan, S. Henderson, A. Janmohamed, B. Liu, D. Shmoys, J. Wan, Y. Zhang. Modeling for COVID-19 College Reopening Decisions: Cornell, A Case Study. Proceedings of the National Academy of Sciences, to appear.

ControlBurn: Feature Selection by Sparse Forests

Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021

Recommended citation: Liu, Brian, Miaolan Xie, and Madeleine Udell. "Controlburn: Feature selection by sparse forests." Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining. 2021. https://arxiv.org/abs/2107.00219

ForestPrune: Compact Depth-Pruned Tree Ensembles

Published in International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Recommended citation: Liu, Brian, and Rahul Mazumder. "ForestPrune: compact depth-pruned tree ensembles." International Conference on Artificial Intelligence and Statistics. PMLR, 2023. https://arxiv.org/abs/2206.00128

FIRE: An Optimization Approach for Fast Interpretable Rule Extraction

Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023

Recommended citation: Liu, Brian, and Rahul Mazumder. "Fire: An optimization approach for fast interpretable rule extraction." Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2023. https://arxiv.org/abs/2306.07432

Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic

Published in INFORMS Journal of Applied Analytics, 2024

Recommended citation: Liu, B., Zhang, Y., Henderson, S. G., Shmoys, D. B., & Frazier, P. I. (2023). Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic. arXiv e-prints, arXiv-2310. https://arxiv.org/abs/2310.04563

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML

Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024

Recommended citation: Liu, Brian, and Rahul Mazumder. "FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML." arXiv preprint arXiv:2402.12630 (2024). https://arxiv.org/pdf/2402.12630

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015