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Yuchen Zhu
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Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
A Mastouri*, Y Zhu*, L Gultchin, A Korba, R Silva, MJ Kusner, A Gretton, ...
ICML 2021, 2021
732021
Causal Effect Inference for Structured Treatments
J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva
NeurIPS 2021, 2021
562021
Causal inference with treatment measurement error: a nonparametric instrumental variable approach
Y Zhu, L Gultchin, A Gretton, MJ Kusner, R Silva
UAI 2022 (Oral Presentation), 2022
162022
Meaningful Causal Aggregation and Paradoxical Confounding
Y Zhu, K Budhathoki, J Kuebler, D Janzing
CLeaR 2024, 2024
42024
Equant (enhanced question answer network)
FX Aubet, D Danks, Y Zhu
arXiv preprint arXiv:1907.00708, 2019
12019
When Can Proxies Improve the Sample Complexity of Preference Learning?
Y Zhu, DA de Souza, Z Shi, M Yang, P Minervini, A D'Amour, MJ Kusner
arXiv preprint arXiv:2412.16475, 2024
2024
Structured Learning of Compositional Sequential Interventions
J Yu, A Koukorinis, N Colombo, Y Zhu, R Silva
NeurIPS 2024, 2024
2024
Unsupervised Causal Abstraction
Y Zhu, SHG Mejia, B Schölkopf, M Besserve
NeurIPS 2024 Causal Representation Learning Workshop, 2024
2024
Relaxing Observability Assumption in Causal Inference with Kernel Methods
Y Zhu, L Gultchin, A Gretton, A Korba, M Kusner, A Mastouri, K Muandet, ...
(Invited talk) Causal Inference Meets Statistics Quarterly Meeting, 2023
2023
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Artikler 1–9