Publications

Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler (2023). Unpaired Multi-Domain Causal Representation Learning. NeurIPS 2023.
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Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler (2023). Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS 2023.
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Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis Sapsis, Caroline Uhler (2023). Active Learning for Optimal Intervention Design in Causal Models. Nature Machine Intelligence.
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Chandler Squires, Anna Seigal, Salil Bhate, Caroline Uhler (2023). Linear Causal Disentanglement via Interventions. ICML 2023.
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Raj Agrawal, Chandler Squires, Neha Prasad, Caroline Uhler (2023). The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables. JRRS-B.
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Chandler Squires, Caroline Uhler (2022). Causal Structure Learning: a Combinatorial Perspective. JoFCM 2022.
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Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler (2022). Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR 2022.
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Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler (2022). Causal Imputation via Synthetic Interventions. CLeaR 2022.
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Michael Truell, Jan-Christian Hutter, Chandler Squires, Piotr Zwiernik, Caroline Uhler (2021). Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample.
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Jiaqi Zhang, Chandler Squires, Caroline Uhler (2021). Matching a Desired Causal State via Shift Interventions. NeurIPS 2021.
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