Publications

Research Articles

• When Can Proxies Improve the Sample Complexity of Preference Learning?
  Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt Kusner, Alexander D’Amour.
  ICML 2025
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• Unsupervised Causal Abstraction.
  Yuchen Zhu, Sergio Hernan Garrido Mejia, Bernhard Schoelkopf, Michel Besserve.
  NeurIPS 2024 CRL Workshop
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• Structured Learning of Compositional Sequential Interventions Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva. NeurIPS 2024
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• Meaningful Causal Aggregation and Paradoxical Confounding.
  Yuchen Zhu, Kailash Budhathoki, Jonas Kuebler, Dominik Janzing.
  CLeaR 2024
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• Causal Inference Under Treatment Measurement Error: A Non-parametric Instrumental Variable Approach.
  Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt Kusner, Ricardo Silva.
  UAI 2022 (Oral Presentation, 5% acceptance rate)
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• Causal Effect Estimation for Structured Treatments.
  Jean Kaddour, Yuchen Zhu, Qi Liu, Matt Kusner, Ricardo Silva.
  NeurIPS 2021
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• Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction.
  Afsaneh Mastouri*, Yuchen Zhu*, Limor Gultchin, Anna Korba, Ricardo Silva, Matt Kusner, Arthur Gretton^, Krikamol Muandet^. (*, ^: The first and senior authors of this paper are ordered alphabetically.) ICML 2021
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