Steven M. Hill

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 5

Top Topics

Gaussian Graphical Models

Biological Knowledge

Variable Selection

Top Venues

Frontiers Big Data

J. Mach. Learn. Res.

Publications

James Howlett, Steven M. Hill, Craig W. Ritchie, Brian D. M. Tom
Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer's Dementia Longitudinal Cohort. Frontiers Big Data 4 (2021)
Fan Wang, Sach Mukherjee, Sylvia Richardson, Steven M. Hill
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. Stat. Comput. 30 (3) (2020)
Steven M. Hill, Chris J. Oates, Duncan A. J. Blythe, Sach Mukherjee
Causal Learning via Manifold Regularization. J. Mach. Learn. Res. 20 (2019)
Nicolas Städler, Frank Dondelinger, Steven M. Hill, Rehan Akbani, Yiling Lu, Gordon B. Mills, Sach Mukherjee
Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study. Bioinform. 33 (18) (2017)
Thomas Cokelaer, Mukesh Bansal, Christopher Bare, Erhan Bilal, Brian M. Bot, Elias Chaibub Neto, Federica Eduati, Mehmet Gönen, Steven M. Hill, Bruce R. Hoff, Jonathan R. Karr, Robert Küffner, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez
DREAMTools: a Python package for scoring collaborative challenges. F1000Research 4 (2015)
Steven M. Hill, Sach Mukherjee
Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation CoRR (2013)
Steven M. Hill, Richard M. Neve, Nora Bayani, Wen-Lin Kuo, Safiyyah Ziyad, Paul T. Spellman, Joe W. Gray, Sach Mukherjee
Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology. BMC Bioinform. 13 (2012)
Steven M. Hill, Yiling Lu, Jennifer Molina, Laura Heiser, Paul T. Spellman, Terence P. Speed, Joe W. Gray, Gordon B. Mills, Sach Mukherjee
Bayesian Inference of Signaling Network Topology in a Cancer Cell Line. Bioinform. 28 (21) (2012)
Sach Mukherjee, Steven M. Hill
Network clustering: probing biological heterogeneity by sparse graphical models. Bioinform. 27 (7) (2011)
Daniel James Barker, Steven M. Hill, Sach Mukherjee
: A Tempering Algorithm for Large-Sample Network Inference. PRIB (2010)