Boosting in the presence of outliers: adaptive classification with non-convex loss functions. - Alexander Hanbo Li; Jelena Bradic (CoRR, 2015)

Robustness in sparse linear models: relative efficiency based on robust approximate message passing. - Jelena Bradic (CoRR, 2015)

Linear Hypothesis Testing in Dense High-Dimensional Linear Models. - Yinchu Zhu; Jelena Bradic (CoRR, 2016)

Cultivating Disaster Donors Using Data Analytics. - Ilya O. Ryzhov; Bin Han 007; Jelena Bradic (Manag. Sci., 2016)

Breaking the curse of dimensionality in regression. - Yinchu Zhu; Jelena Bradic (CoRR, 2017)

Fixed effects testing in high-dimensional linear mixed models. - Jelena Bradic; Gerda Claeskens; Thomas Gueuning (CoRR, 2017)

Censored Quantile Regression Forests. - Alexander Hanbo Li; Jelena Bradic (CoRR, 2019)

Synthetic learner: model-free inference on treatments over time. - Davide Viviano; Jelena Bradic (CoRR, 2019)

Censored Quantile Regression Forest. - Alexander Hanbo Li; Jelena Bradic (AISTATS, 2020)

DeepHazard: neural network for time-varying risks. - Denise Rava; Jelena Bradic (CoRR, 2020)

Learning to Combat Noisy Labels via Classification Margins. - Jason Z. Lin; Jelena Bradic (CoRR, 2021)

High-dimensional Inference for Dynamic Treatment Effects. - Jelena Bradic; Weijie Ji; Yuqian Zhang (CoRR, 2021)

Dynamic treatment effects: high-dimensional inference under model misspecification. - Yuqian Zhang; Jelena Bradic; Weijie Ji (CoRR, 2021)

Adaptive Split Balancing for Optimal Random Forest. - Yuqian Zhang; Weijie Ji; Jelena Bradic (CoRR, 2024)

Causal inference through multi-stage learning and doubly robust deep neural networks. - Yuqian Zhang; Jelena Bradic (CoRR, 2024)