Selected Publications

• Robust inference on the average treatment effect using the outcome highly adaptive lasso
  Ju, C., D. Benkeser, and M. J. van der Laan.
  Biometrics (2019+).
  

• Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods
  Ju, C., M. Combs, S. D. Lendle, J. M. Franklin, R. Wyss, S. Schneeweiss, and Mark J. van der Laan
  Journal of Applied Statistics, (2019+).
  

• On Adaptive Propensity Score Truncation in Causal Inference
  Ju, C., J. Schwab, and M. J. van der Laan.
  Stat. Methods in Med. Res., (2018+).
  

• The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
  Ju, C, A. Bibaut, and M. J. van der Laan
  Journal of Applied Statistics, (2018+).
  

• Using Super Learner Prediction Modeling to Improve High-Dimensional Propensity Score Estimation
  Wyss, R., S. Schneeweiss, M. J. van der Laan, S. D. Lendle, C. Ju, and J. M. Franklin.
  Epidemiology (2018), 29(1), 96-106..
  

• Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data
  Ju, C, R. Wyss, J. M. Franklin, S. Schneeweiss, J. Häggström, and M. J. van der Laan
  Stat. Methods in Med. Res., (2018+).
  

• Scalable Collaborative Targeted Learning for High-Dimensional Data
  Ju, C., S. Gruber, S. D. Lendle, A. Chambaz, J. M. Franklin, R. Wyss, S. Schneeweiss, and M. J. van der Laan.
  Stat. Methods in Med. Res., (2017).
  

• Online cross-validation-based ensemble learning
  Benkeser, D., C. Ju, S. D. Lendle, and M. J. van der Laan
  Statist. Med., 37(2), 249-260. doi: 10.1002/sim.7320. (2017).
  

Conference Paper

• Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting Reranking
  Zhu, Lin, B. He, M. Ji, C. Ju, and Y. Chen.
  Proceedings of the ACM Recommender Systems (RecSys) Challenge, 2018
  

• HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step
  Ye, Y., L. Lei, and C. Ju.
  Artificial Intelligence and Statistics (AISTATS), 2018.
  

• Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed
  Ju, C., J. Li, B. Wasti, and S. Guo.
  Knowledge Discovery and Data Mining (KDD), 2018, Worshop on Opinions, Conflict, and Abuse in a Networked Society .
  

• Nonconvex Finite-Sum Optimization Via SCSG Methods
  Lei, L., C. Ju, J. Chen, and M. I. Jordan.
  Advances in Neural Information Processing Systems (NIPS), 2017.
  

Book Chapters

• C-TMLE for continuous tuning.
  van der Laan, Mark J., A. Chambaz, and C. Ju.
  Targeted Learning in Data Science. Springer, Cham, 2018. 143-161.
  

Under Review

• Collaborative targeted inference from continuously indexed nuisance parameter estimators
  Ju, C., A. Chambaz, and M. J. van der Laan.
  arXiv preprint arXiv:1804.00102 (2018).
  

Presentations/Posters

• Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data
  The 10th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2017), London, UK,
  with R. Wyss, J. Franklin, S. Schneeweiss, J. Haggstrom, and M. J. van der Laan.

• Scalable Collaborative Targeted Learning for Large Scale and High-Dimensional Data
  The 33rd International Conference on Pharmacoepidemiology and Therapeutic Risk Management (ICPE 2017), Montreal, Canada
  with S. Gruber, S. Lendle, J. Franklin, R. Wyss, S. Schneeweiss, and M. J. van der Laan.

• Propensity Score Prediction for Electronic Healthcare Databases Using Super Learner and High-Dimensional Propensity Score Methods
  The 33rd International Conference on Pharmacoepidemiology and Therapeutic Risk Management (ICPE 2017), Montreal, Canada
  with M. Combs, S. Lendle, J. Franklin, R. Wyss, S. Schneeweiss, and M. J. van der Laan.

• Collaborative Targeted Learning for Large-Scale and High-Dimensional Data, Flexible Modeling of High-Dimensional and Network Data (Contributed)
  2016 Joint Statistical Meetings, Chicago
  with M. J. van der Laan, S. Gruber, J. Franklin, R. Wyss, W. Eddings and S. Schneeweiss.

• Collaborative Targeted Maximum Likelihood Estimator (CTMLE) in Observational Studies, Health Policy Statistics Section (Invited)
  2015 Joint Statistical Meetings, Seattle.
  with M. J. van der Laan, S. Lendle and S. Schneeweiss.