Bien, Jacob

5 publications

ICML 2023 Predicting Rare Events by Shrinking Towards Proportional Odds Gregory Faletto, Jacob Bien

JMLR 2022 Tree-Based Node Aggregation in Sparse Graphical Models Ines Wilms, Jacob Bien

JMLR 2020 High Dimensional Forecasting via Interpretable Vector Autoregression William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson

JMLR 2017 Learning Local Dependence in Ordered Data Guo Yu, Jacob Bien

NeurIPS 2010 CUR from a Sparse Optimization Viewpoint Jacob Bien, Ya Xu, Michael W. Mahoney