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Jacob Bien
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Journal Articles
- 2022
- [j3]Ines Wilms, Jacob Bien:
Tree-based Node Aggregation in Sparse Graphical Models. J. Mach. Learn. Res. 23: 243:1-243:36 (2022) - 2020
- [j2]William B. Nicholson, Ines Wilms, Jacob Bien, David S. Matteson:
High Dimensional Forecasting via Interpretable Vector Autoregression. J. Mach. Learn. Res. 21: 166:1-166:52 (2020) - 2017
- [j1]Guo Yu, Jacob Bien:
Learning Local Dependence In Ordered Data. J. Mach. Learn. Res. 18: 42:1-42:60 (2017)
Conference and Workshop Papers
- 2023
- [c3]Gregory Faletto, Jacob Bien:
Predicting Rare Events by Shrinking Towards Proportional Odds. ICML 2023: 9547-9602 - 2011
- [c2]Neema Moraveji, Daniel M. Russell, Jacob Bien, David Mease:
Measuring improvement in user search performance resulting from optimal search tips. SIGIR 2011: 355-364 - 2010
- [c1]Jacob Bien, Ya Xu, Michael W. Mahoney:
CUR from a Sparse Optimization Viewpoint. NIPS 2010: 217-225
Parts in Books or Collections
- 2016
- [p1]Jacob Bien, Daniela M. Witten:
Penalized Estimation in Complex Models. Handbook of Big Data 2016: 285-303
Informal and Other Publications
- 2021
- [i4]Simeng Shao, Jacob Bien, Adel Javanmard:
Controlling the False Split Rate in Tree-Based Aggregation. CoRR abs/2108.05350 (2021) - 2016
- [i3]Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller:
Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR abs/1604.06815 (2016) - 2014
- [i2]Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke:
Sparse Partially Linear Additive Models. CoRR abs/1407.4729 (2014) - 2010
- [i1]Jacob Bien, Ya Xu, Michael W. Mahoney:
CUR from a Sparse Optimization Viewpoint. CoRR abs/1011.0413 (2010)
Coauthor Index
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