Publications

Chandler Squires, Anna Seigal, Salil Bhate, Caroline Uhler (2023). Linear Causal Disentanglement via Interventions. ICML 2023.

Jiaqi Zhang, Chandler Squires, Kristjan Greenewald, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler (2023). Identifiability Guarantees for Causal Disentanglement from Soft Interventions.

Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler (2023). Unpaired Multi-Domain Causal Representation Learning.

Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis Sapsis, Caroline Uhler (2022). Active Learning for Optimal Intervention Design in Causal Models.

Chandler Squires, Caroline Uhler (2022). Causal Structure Learning: a Combinatorial Perspective. JoFCM 2022.

Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler (2022). Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR 2022.

Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler (2022). Causal Imputation via Synthetic Interventions. CLeaR 2022.

Michael Truell, Jan-Christian Hutter, Chandler Squires, Piotr Zwiernik, Caroline Uhler (2021). Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample.

Jiaqi Zhang, Chandler Squires, Caroline Uhler (2021). Matching a Desired Causal State via Shift Interventions. NeurIPS 2021.

Raj Agrawal, Chandler Squires, Neha Prasad, Caroline Uhler (2021). The DeCAMFounder: Non-Linear Causal Discovery in the Presence of Hidden Variables.

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.

Chandler Squires, Joshua Amaniampong, Caroline Uhler (2020). Efficient Permutation Discovery in Causal DAGs.

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.

Chandler Squires, Yuhao Wang, Caroline Uhler (2019). Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI 2020.

Daniel Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler (2019). Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS 2020.

Dmitriy Katz, Karthikeyan Shannmugan, Chandler Squires, Caroline Uhler (2019). Size of Interventional Markov Equivalence Classes in Random DAG Models. ICML 2019.

Raj Agrawal, Chandler Squires, Karren Yang, Karthikeyan Shanmugan, Caroline Uhler (2019). ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. ICML 2019.

Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler (2018). Direct Estimation of Differences in Causal Graphs. NeurIPS 2018.