CUR from a Sparse Optimization Viewpoint. - Jacob Bien; Ya Xu; Michael W. Mahoney (NIPS, 2010)

Measuring improvement in user search performance resulting from optimal search tips. - Neema Moraveji; Daniel M. Russell; Jacob Bien; David Mease (SIGIR, 2011)

Sparse Partially Linear Additive Models. - Yin Lou; Jacob Bien; Rich Caruana; Johannes Gehrke (CoRR, 2014)

Penalized Estimation in Complex Models. - Jacob Bien; Daniela M. Witten (Handbook of Big Data, 2016)

Non-convex Global Minimization and False Discovery Rate Control for the TREX. - Jacob Bien; Irina Gaynanova; Johannes Lederer; Christian L. Müller (CoRR, 2016)

Learning Local Dependence In Ordered Data. - Guo Yu; Jacob Bien (J. Mach. Learn. Res., 2017)

High Dimensional Forecasting via Interpretable Vector Autoregression. - William B. Nicholson; Ines Wilms; Jacob Bien; David S. Matteson (J. Mach. Learn. Res., 2020)

Controlling the False Split Rate in Tree-Based Aggregation. - Simeng Shao; Jacob Bien; Adel Javanmard (CoRR, 2021)

Tree-based Node Aggregation in Sparse Graphical Models. - Ines Wilms; Jacob Bien (J. Mach. Learn. Res., 2022)

Predicting Rare Events by Shrinking Towards Proportional Odds. - Gregory Faletto; Jacob Bien (ICML, 2023)