Jin Tian
Iowa State University
H-index: 26
North America-United States
Top articles of Jin Tian
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments | Advances in Neural Information Processing Systems | Yonghan Jung Iván Díaz Jin Tian Elias Bareinboim | 2024/2/13 |
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable | arXiv preprint arXiv:2401.11130 | Yuta Kawakami Manabu Kuroki Jin Tian | 2024/1/20 |
Vulnerability-Aware Instance Reweighting For Adversarial Training | arXiv preprint arXiv:2307.07167 | Olukorede Fakorede Ashutosh Kumar Nirala Modeste Atsague Jin Tian | 2023/7/14 |
Instrumental variable estimation of average partial causal effects | Yuta Kawakami Manabu Kuroki Jin Tian | 2023/7/3 | |
Estimating joint treatment effects by combining multiple experiments | Yonghan Jung Jin Tian Elias Bareinboim | 2023/7/3 | |
Improving adversarial robustness with hypersphere embedding and angular-based regularizations | Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian | 2023/6/4 | |
Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale | arXiv preprint arXiv:2301.02410 | Hebi Li Forrest Sheng Bao Qi Xiao Jin Tian | 2023/1/6 |
A Penalized Modified Huber Regularization to Improve Adversarial Robustness | Modeste Atsague Ashutosh Nirala Olukorede Fakorede Jin Tian | 2023/10/8 | |
Finding and listing front-door adjustment sets | Advances in Neural Information Processing Systems | Hyunchai Jeong Jin Tian Elias Bareinboim | 2022/12/6 |
Recovering from | Probabilistic and Causal Inference: The Works of Judea Pearl | Elias Bareinboim Jin Tian Judea Pearl | 2022/3/10 |
Recovering from selection bias in causal and statistical inference | Elias Bareinboim Jin Tian Judea Pearl | 2022/2/28 | |
On measuring causal contributions via do-interventions | Yonghan Jung Shiva Kasiviswanathan Jin Tian Dominik Janzing Patrick Blöbaum | 2022/6/28 | |
Neuron dependency graphs: A causal abstraction of neural networks | Yaojie Hu Jin Tian | 2022/6/28 | |
Partial counterfactual identification from observational and experimental data | Junzhe Zhang Jin Tian Elias Bareinboim | 2022/6/28 | |
Group-wise feature selection for supervised learning | Qi Xiao Hebi Li Jin Tian Zhengdao Wang | 2022/5/23 | |
Partial identification of counterfactual distributions | Junzhe Zhang Elias Bareinboim Jin Tian | 2021/6 | |
Beyond discriminant patterns: On the robustness of decision rule ensembles | arXiv preprint arXiv:2109.10432 | Xin Du Subramanian Ramamoorthy Wouter Duivesteijn Jin Tian Mykola Pechenizkiy | 2021/9/21 |
Estimating identifiable causal effects on markov equivalence class through double machine learning | Yonghan Jung Jin Tian Elias Bareinboim | 2021/2 | |
Double machine learning density estimation for local treatment effects with instruments | Advances in Neural Information Processing Systems | Yonghan Jung Jin Tian Elias Bareinboim | 2021/12/6 |
Estimating identifiable causal effects through double machine learning | Proceedings of the AAAI Conference on Artificial Intelligence | Yonghan Jung Jin Tian Elias Bareinboim | 2021/5/18 |
Co-Authors
