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 | 71 | 2021 |
Causal Effect Inference for Structured Treatments J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva NeurIPS 2021, 2021 | 42 | 2021 |
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 | 13 | 2022 |
Meaningful Causal Aggregation and Paradoxical Confounding Y Zhu, K Budhathoki, J Kuebler, D Janzing CLeaR 2024, 2024 | 1 | 2024 |
Equant (enhanced question answer network) FX Aubet, D Danks, Y Zhu arXiv preprint arXiv:1907.00708, 2019 | 1 | 2019 |
Structured Learning of Compositional Sequential Interventions J Yu, A Koukorinis, N Colombo, Y Zhu, R Silva arXiv preprint arXiv:2406.05745, 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 |