Jie Liu

Publication Activity (10 Years)

Years Active: 2012-2020
Publications (10 Years): 5

Top Topics

Approximation Error

Undirected Graphical Models

Top Venues

Publications

Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR (2020)
Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA (2018)
Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI (2018)
Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17 (2016)
Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. AMIA (2015)
Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
Multiple Testing under Dependence via Semiparametric Graphical Models. ICML (2014)
Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
Learning Heterogeneous Hidden Markov Random Fields. AISTATS (2014)
Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA (2014)
Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA (2013)
Jie Liu, David Page
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models. NIPS (2013)
Jie Liu, Elizabeth S. Burnside, Humberto J. Vidaillet, David Page
A collective ranking method for genome-wide association studies. BCB (2012)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies CoRR (2012)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI (2012)
Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. AISTATS (2012)