Jelena Bradic

17 papers A 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors.
J. Mach. Learn. Res.
Gaoyu Wu, Jelena Bradic, Kean Ming Tan, Wen-Xin Zhou
2024 J jnl
Adaptive Split Balancing for Optimal Random Forest.
CoRR
Yuqian Zhang, Weijie Ji, Jelena Bradic
2024 J jnl
Causal inference through multi-stage learning and doubly robust deep neural networks.
CoRR
Yuqian Zhang, Jelena Bradic
2021 J jnl
Dynamic treatment effects: high-dimensional inference under model misspecification.
CoRR
Yuqian Zhang, Jelena Bradic, Weijie Ji
2021 J jnl
High-dimensional Inference for Dynamic Treatment Effects.
CoRR
Jelena Bradic, Weijie Ji, Yuqian Zhang
2021 J jnl
Learning to Combat Noisy Labels via Classification Margins.
CoRR
Jason Z. Lin, Jelena Bradic
2020 A conf
Censored Quantile Regression Forest.
AISTATS
Alexander Hanbo Li, Jelena Bradic
2020 J jnl
Censored Quantile Regression Forest.
CoRR
Alexander Hanbo Li, Jelena Bradic
2020 J jnl
DeepHazard: neural network for time-varying risks.
CoRR
Denise Rava, Jelena Bradic
2019 J jnl
Censored Quantile Regression Forests.
CoRR
Alexander Hanbo Li, Jelena Bradic
2019 J jnl
Synthetic learner: model-free inference on treatments over time.
CoRR
Davide Viviano, Jelena Bradic
2017 J jnl
Breaking the curse of dimensionality in regression.
CoRR
Yinchu Zhu, Jelena Bradic
2017 J jnl
Fixed effects testing in high-dimensional linear mixed models.
CoRR
Jelena Bradic, Gerda Claeskens, Thomas Gueuning
2016 J jnl
Cultivating Disaster Donors Using Data Analytics.
Manag. Sci.
Ilya O. Ryzhov, Bin Han, Jelena Bradic
2016 J jnl
Linear Hypothesis Testing in Dense High-Dimensional Linear Models.
CoRR
Yinchu Zhu, Jelena Bradic
2015 J jnl
Boosting in the presence of outliers: adaptive classification with non-convex loss functions.
CoRR
Alexander Hanbo Li, Jelena Bradic
2015 J jnl
Robustness in sparse linear models: relative efficiency based on robust approximate message passing.
CoRR
Jelena Bradic