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ORCIDVahid Tarokh
- > Home > Persons > Vahid Tarokh
Publications
- 2025
[j137]Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson:
Understanding and Robustifying Sub-domain Alignment for Domain Adaptation. Trans. Mach. Learn. Res. 2025 (2025)- [c173]Ahmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh:
CATE Estimation With Potential Outcome Imputation From Local Regression. UAI 2025: 64-90 - [c172]Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh:
Conditional Average Treatment Effect Estimation Under Hidden Confounders. UAI 2025: 91-110 - [i118]Ahmed Aloui, Ali Hasan, Juncheng Dong, Zihao Wu, Vahid Tarokh:
Score-Based Metropolis-Hastings Algorithms. CoRR abs/2501.00467 (2025) - [i116]Zihao Wu, Juncheng Dong, Ahmed Aloui, Vahid Tarokh:
Teleportation With Null Space Gradient Projection for Optimization Acceleration. CoRR abs/2502.11362 (2025) - [i112]Ahmed Aloui, Juncheng Dong, Ali Hasan, Vahid Tarokh:
Conditional Average Treatment Effect Estimation Under Hidden Confounders. CoRR abs/2506.12304 (2025) - 2024
- [c166]Shyam Venkatasubramanian, Ahmed Aloui, Vahid Tarokh:
Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks. UAI 2024: 3425-3447 - 2023
- [c157]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Transfer learning for individual treatment effect estimation. UAI 2023: 56-66 - [i96]Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David E. Carlson
:
Domain Adaptation via Rebalanced Sub-domain Alignment. CoRR abs/2302.02009 (2023) - [i91]Cat P. Le, Juncheng Dong, Ahmed Aloui, Vahid Tarokh:
Few-Shot Continual Learning for Conditional Generative Adversarial Networks. CoRR abs/2305.11400 (2023) - [i88]Ziyang Jiang, Yiling Liu, Michael Hunter Klein, Ahmed Aloui, Yiman Ren, Keyu Li, Vahid Tarokh, David E. Carlson:
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators. CoRR abs/2306.07918 (2023) - [i87]Ahmed Aloui, Ali Hasan, Yuting Ng, Miroslav Pajic, Vahid Tarokh:
Individual Treatment Effects in Extreme Regimes. CoRR abs/2306.11697 (2023) - [i84]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Counterfactual Data Augmentation with Contrastive Learning. CoRR abs/2311.03630 (2023) - [i83]Shyam Venkatasubramanian, Ahmed Aloui, Vahid Tarokh:
Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks. CoRR abs/2311.12356 (2023) - 2022
- [i75]Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Causal Knowledge Transfer from Task Affinity. CoRR abs/2210.00380 (2022)
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