Publications

Chandler Squires (2025). Causal Foundations for Pragmatic Data Science.
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Alvaro Ribot, Chandler Squires, Caroline Uhler (2024). Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR 2024.
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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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Jiaqi Zhang, Chandler Squires, Caroline Uhler (2021). Matching a Desired Causal State via Shift Interventions. NeurIPS 2021.
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Anastasiya Belyaeva, Chandler Squires, Caroline Uhler (2021). DCI: Learning Causal Differences between Gene Regulatory Networks. Bioinformatics 2021.
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Anastasiya Belyaeva, Louis Cammarate, Adityanarayanan Radhakrishnan, Chandler Squires, Karren Dai Yang, G.V. Shivashankar, Caroline Uhler (2021). Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing. Nature Communications.
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