3 papers
stat.OT2026
Debiased Estimators in High-Dimensional Regression: A Review and Replication of Javanmard and Montanari (2014)
Benjamin Smith
High-dimensional statistical settings () pose fundamental challenges for classical inference, largely due to bias introduced by regularized estimators such as the LASSO. T…
stat.CO2025
Fairmetrics: An R package for group fairness evaluation
Benjamin Smith, Jianhui Gao, Jessica Gronsbell
Fairness is a growing area of machine learning (ML) that focuses on ensuring models do not produce systematically biased outcomes for specific groups, particularly those defined by…
cs.SI2024
Centrality in Collaboration: A Novel Algorithm for Social Partitioning Gradients in Community Detection for Multiple Oncology Clinical Trial Enrollments
Benjamin Smith, Tyler Pittman, Wei Xu
Patients at a comprehensive cancer center who do not achieve cure or remission following standard treatments often become candidates for clinical trials. Patients who participate i…