Publications

Raj Agrawal, Chandler Squires, Neha Prasad, Caroline Uhler (2023). The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables. JRRS-B.
PDF Cite
Chandler Squires, Caroline Uhler (2022). Causal Structure Learning: a Combinatorial Perspective. JoFCM 2022.
PDF Cite
Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler (2022). Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR 2022.
PDF Cite
Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler (2022). Causal Imputation via Synthetic Interventions. CLeaR 2022.
PDF Cite
Michael Truell, Jan-Christian Hutter, Chandler Squires, Piotr Zwiernik, Caroline Uhler (2021). Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample.
PDF Cite
Jiaqi Zhang, Chandler Squires, Caroline Uhler (2021). Matching a Desired Causal State via Shift Interventions. NeurIPS 2021.
PDF Cite
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.
PDF Cite
Chandler Squires, Sara Magliacane, Kristjan Greenwald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam (2020). Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS 2020.
PDF Cite Code
Chandler Squires, Yuhao Wang, Caroline Uhler (2019). Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI 2020.
PDF Cite Code
Daniel Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler (2019). Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS 2020.
PDF Cite Code