Jelena Bradic

According to our database, Jelena Bradic authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Causal inference through multi-stage learning and doubly robust deep neural networks.

Yuqian Zhang, Jelena Bradic

CoRR, 2024

Adaptive Split Balancing for Optimal Random Forest.

Yuqian Zhang, Weijie Ji, Jelena Bradic

CoRR, 2024

2021

Dynamic treatment effects: high-dimensional inference under model misspecification.

Yuqian Zhang, Jelena Bradic, Weijie Ji

CoRR, 2021

High-dimensional Inference for Dynamic Treatment Effects.

Jelena Bradic, Weijie Ji, Yuqian Zhang

CoRR, 2021

Learning to Combat Noisy Labels via Classification Margins.

Jason Z. Lin, Jelena Bradic

CoRR, 2021

2020

DeepHazard: neural network for time-varying risks.

Denise Rava, Jelena Bradic

CoRR, 2020

Censored Quantile Regression Forest.

Alexander Hanbo Li, Jelena Bradic

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Synthetic learner: model-free inference on treatments over time.

Davide Viviano, Jelena Bradic

CoRR, 2019

Censored Quantile Regression Forests.

Alexander Hanbo Li, Jelena Bradic

CoRR, 2019

2017

Fixed effects testing in high-dimensional linear mixed models.

Jelena Bradic, Gerda Claeskens, Thomas Gueuning

CoRR, 2017

Breaking the curse of dimensionality in regression.

Yinchu Zhu, Jelena Bradic

CoRR, 2017

2016

Cultivating Disaster Donors Using Data Analytics.

Ilya O. Ryzhov, Bin Han, Jelena Bradic

Manag. Sci., 2016

Linear Hypothesis Testing in Dense High-Dimensional Linear Models.

Yinchu Zhu, Jelena Bradic

CoRR, 2016

2015

Robustness in sparse linear models: relative efficiency based on robust approximate message passing.

Jelena Bradic

CoRR, 2015

Boosting in the presence of outliers: adaptive classification with non-convex loss functions.

Alexander Hanbo Li, Jelena Bradic

CoRR, 2015