Jacob Bien

According to our database, Jacob Bien authored at least 10 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Predicting Rare Events by Shrinking Towards Proportional Odds.

Gregory Faletto, Jacob Bien

Proceedings of the International Conference on Machine Learning, 2023

2022

Tree-based Node Aggregation in Sparse Graphical Models.

Ines Wilms, Jacob Bien

J. Mach. Learn. Res., 2022

2021

Controlling the False Split Rate in Tree-Based Aggregation.

Simeng Shao, Jacob Bien, Adel Javanmard

CoRR, 2021

2020

High Dimensional Forecasting via Interpretable Vector Autoregression.

William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson

J. Mach. Learn. Res., 2020

2017

Learning Local Dependence In Ordered Data.

Guo Yu, Jacob Bien

J. Mach. Learn. Res., 2017

2016

Non-convex Global Minimization and False Discovery Rate Control for the TREX.

Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller

CoRR, 2016

Penalized Estimation in Complex Models.

Jacob Bien, Daniela M. Witten

Proceedings of the Handbook of Big Data., 2016

2014

Sparse Partially Linear Additive Models.

Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke

CoRR, 2014

2011

Measuring improvement in user search performance resulting from optimal search tips.

Neema Moraveji, Daniel M. Russell, Jacob Bien, David Mease

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010

CUR from a Sparse Optimization Viewpoint.

Jacob Bien, Ya Xu, Michael W. Mahoney

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010