Chandler Squires

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Causal Structure

Structure Learning

Conditional Independence Tests

Top Venues

Publications

Bijan Mazaheri, Chandler Squires, Caroline Uhler
Synthetic Potential Outcomes for Mixtures of Treatment Effects. CoRR (2024)
Alvaro Ribot, Chandler Squires, Caroline Uhler
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR (2024)
Alvaro Ribot, Chandler Squires, Caroline Uhler
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CoRR (2024)
Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
Unpaired Multi-Domain Causal Representation Learning. CoRR (2023)
Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
Unpaired Multi-Domain Causal Representation Learning. NeurIPS (2023)
Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler
Linear Causal Disentanglement via Interventions. ICML (2023)
Jiaqi Zhang, Kristjan H. Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS (2023)
Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
Active learning for optimal intervention design in causal models. Nat. Mac. Intell. 5 (10) (2023)
Chandler Squires, Caroline Uhler
Causal Structure Learning: A Combinatorial Perspective. Found. Comput. Math. 23 (5) (2023)
Jiaqi Zhang, Chandler Squires, Kristjan H. Greenewald, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. CoRR (2023)
Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR (2022)
Anna Seigal, Chandler Squires, Caroline Uhler
Linear Causal Disentanglement via Interventions. CoRR (2022)
Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
Causal Imputation via Synthetic Interventions. CLeaR (2022)
Chandler Squires, Caroline Uhler
Causal Structure Learning: a Combinatorial Perspective. CoRR (2022)
Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
Active Learning for Optimal Intervention Design in Causal Models. CoRR (2022)
Jiaqi Zhang, Chandler Squires, Caroline Uhler
Matching a Desired Causal State via Shift Interventions. CoRR (2021)
Jiaqi Zhang, Chandler Squires, Caroline Uhler
Matching a Desired Causal State via Shift Interventions. NeurIPS (2021)
Anastasiya Belyaeva, Chandler Squires, Caroline Uhler
DCI: learning causal differences between gene regulatory networks. Bioinform. 37 (18) (2021)
Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS (2020)
Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS (2020)
Chandler Squires, Yuhao Wang, Caroline Uhler
Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI (2020)
Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR (2020)
Chandler Squires, Joshua Amaniampong, Caroline Uhler
Efficient Permutation Discovery in Causal DAGs. CoRR (2020)
Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
Ordering-Based Causal Structure Learning in the Presence of Latent Variables. CoRR (2019)
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
Size of Interventional Markov Equivalence Classes in random DAG models. AISTATS (2019)
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
Size of Interventional Markov Equivalence Classes in Random DAG Models. CoRR (2019)
Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS (2019)
Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler
Direct Estimation of Differences in Causal Graphs. NeurIPS (2018)