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Chandler Squires
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Cited by
Year
Permutation-based causal structure learning with unknown intervention targets
C Squires, Y Wang, C Uhler
Conference on Uncertainty in Artificial Intelligence, 1039-1048, 2020
692020
ABCD-strategy: Budgeted experimental design for targeted causal structure discovery
R Agrawal, C Squires, K Yang, K Shanmugam, C Uhler
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
622019
Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing
A Belyaeva, L Cammarata, A Radhakrishnan, C Squires, K Dai Yang, ...
Nature Communications 12 (1), 1-13, 2021
482021
Ordering-based causal structure learning in the presence of latent variables
D Bernstein, B Saeed, C Squires, C Uhler
International Conference on Artificial Intelligence and Statistics, 4098-4108, 2020
482020
Linear Causal Disentanglement via Interventions
C Squires, A Seigal, SS Bhate, C Uhler
International Conference on Machine Learning, 2023
392023
Direct estimation of differences in causal graphs
Y Wang, C Squires, A Belyaeva, C Uhler
Advances in Neural Information Processing Systems, 3770-3781, 2018
332018
Causal structure learning: A combinatorial perspective
C Squires, C Uhler
Foundations of Computational Mathematics 23 (5), 1781-1815, 2023
322023
Active Structure Learning of Causal DAGs via Directed Clique Trees
C Squires, S Magliacane, K Greenewald, D Katz, M Kocaoglu, ...
Advances in Neural Information Processing Systems 33, 2020
302020
DCI: learning causal differences between gene regulatory networks
A Belyaeva, C Squires, C Uhler
Bioinformatics 37 (18), 3067-3069, 2021
222021
Causal imputation via synthetic interventions
C Squires, D Shen, A Agarwal, D Shah, C Uhler
Conference on Causal Learning and Reasoning, 688-711, 2022
202022
Identifiability guarantees for causal disentanglement from soft interventions
J Zhang, K Greenewald, C Squires, A Srivastava, K Shanmugam, C Uhler
Advances in Neural Information Processing Systems 36, 2024
192024
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables
R Agrawal, C Squires, N Prasad, C Uhler
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
192023
Matching a desired causal state via shift interventions
J Zhang, C Squires, C Uhler
Advances in Neural Information Processing Systems 34, 19923-19934, 2021
182021
Causal structure discovery between clusters of nodes induced by latent factors
C Squires, A Yun, E Nichani, R Agrawal, C Uhler
Conference on Causal Learning and Reasoning, 669-687, 2022
152022
Size of interventional Markov equivalence classes in random DAG models
D Katz, K Shanmugam, C Squires, C Uhler
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
92019
Maximum Likelihood Estimation for Brownian Motion Tree Models Based on One Sample
M Truell, JC Hütter, C Squires, P Zwiernik, C Uhler
arXiv preprint arXiv:2112.00816, 2021
72021
Active learning for optimal intervention design in causal models
J Zhang, L Cammarata, C Squires, TP Sapsis, C Uhler
Nature Machine Intelligence, 1-10, 2023
62023
Efficient Permutation Discovery in Causal DAGs
C Squires, J Amaniampong, C Uhler
arXiv preprint arXiv:2011.03610, 2020
52020
causaldag: creation, manipulation, and learning of causal models, 2018
C Squires
URL https://github. com/uhlerlab/causaldag, 0
5
Unpaired multi-domain causal representation learning
N Sturma, C Squires, M Drton, C Uhler
Advances in Neural Information Processing Systems 36, 2024
42024
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