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Chandler Squires
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2020 – today
- 2024
- [c13]Alvaro Ribot
, Chandler Squires, Caroline Uhler:
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR 2024: 1141-1175 - [i12]Alvaro Ribot, Chandler Squires, Caroline Uhler
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CoRR abs/2402.14777 (2024) - [i11]Bijan Mazaheri, Chandler Squires, Caroline Uhler:
Synthetic Potential Outcomes for Mixtures of Treatment Effects. CoRR abs/2405.19225 (2024) - 2023
- [j3]Chandler Squires, Caroline Uhler:
Causal Structure Learning: A Combinatorial Perspective. Found. Comput. Math. 23(5): 1781-1815 (2023) - [j2]Jiaqi Zhang
Active learning for optimal intervention design in causal models. Nat. Mac. Intell. 5(10): 1066-1075 (2023) - [c12]Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler:
Linear Causal Disentanglement via Interventions. ICML 2023: 32540-32560 - [c11]Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler:
Unpaired Multi-Domain Causal Representation Learning. NeurIPS 2023 - [c10]Jiaqi Zhang, Kristjan H. Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler:
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS 2023 - [i10]Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
Unpaired Multi-Domain Causal Representation Learning. CoRR abs/2302.00993 (2023) - [i9]Jiaqi Zhang, Chandler Squires, Kristjan H. Greenewald, Akash Srivastava, Karthikeyan Shanmugam
Identifiability Guarantees for Causal Disentanglement from Soft Interventions. CoRR abs/2307.06250 (2023) - 2022
- [c9]Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler:
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR 2022: 669-687 - [c8]Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler:
Causal Imputation via Synthetic Interventions. CLeaR 2022: 688-711 - [i8]Chandler Squires, Caroline Uhler
Causal Structure Learning: a Combinatorial Perspective. CoRR abs/2206.01152 (2022) - [i7]Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler:
Active Learning for Optimal Intervention Design in Causal Models. CoRR abs/2209.04744 (2022) - [i6]Anna Seigal, Chandler Squires, Caroline Uhler
Linear Causal Disentanglement via Interventions. CoRR abs/2211.16467 (2022) - 2021
- [j1]Anastasiya Belyaeva
DCI: learning causal differences between gene regulatory networks. Bioinform. 37(18): 3067-3069 (2021) - [c7]Jiaqi Zhang, Chandler Squires, Caroline Uhler:
Matching a Desired Causal State via Shift Interventions. NeurIPS 2021: 19923-19934 - [i5]Jiaqi Zhang, Chandler Squires, Caroline Uhler:
Matching a Desired Causal State via Shift Interventions. CoRR abs/2107.01850 (2021) - 2020
- [c6]Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler:
Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS 2020: 4098-4108 - [c5]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 - [c4]Chandler Squires, Yuhao Wang, Caroline Uhler:
Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI 2020: 1039-1048 - [i4]Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam:
Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR abs/2011.00641 (2020) - [i3]Chandler Squires, Joshua Amaniampong, Caroline Uhler:
Efficient Permutation Discovery in Causal DAGs. CoRR abs/2011.03610 (2020)
2010 – 2019
- 2019
- [c3]Dmitriy Katz, Karthikeyan Shanmugam
Size of Interventional Markov Equivalence Classes in random DAG models. AISTATS 2019: 3234-3243 - [c2]Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS 2019: 3400-3409 - [i2]Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler:
Size of Interventional Markov Equivalence Classes in Random DAG Models. CoRR abs/1903.02054 (2019) - [i1]Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler:
Ordering-Based Causal Structure Learning in the Presence of Latent Variables. CoRR abs/1910.09014 (2019) - 2018
- [c1]Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler:
Direct Estimation of Differences in Causal Graphs. NeurIPS 2018: 3774-3785
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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