Chandler Squires

33 papers A* 6A 5Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Knowledge-Enriched Machine Learning for Tabular Data. NeuS Juyong Kim, Chandler Squires, Pradeep Ravikumar
2025	—	`conf`	Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set. CLeaR Davin Choo, Chandler Squires, Arnab Bhattacharyya, David Sontag
2025	A	`conf`	Synthetic Potential Outcomes and Causal Mixture Identifiability. AISTATS Bijan Mazaheri, Chandler Squires, Caroline Uhler
2025	—	`conf`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CLeaR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad K, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2024	—	`conf`	Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CLeaR Alvaro Ribot, Chandler Squires, Caroline Uhler
2024	J	`jnl`	Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models. CoRR Alvaro Ribot, Chandler Squires, Caroline Uhler
2024	J	`jnl`	Synthetic Potential Outcomes for Mixtures of Treatment Effects. CoRR Bijan Mazaheri, Chandler Squires, Caroline Uhler
2024	J	`jnl`	The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications. CoRR Philippe Brouillard, Chandler Squires, Jonas Wahl, Konrad P. Kording, Karen Sachs, Alexandre Drouin, Dhanya Sridhar
2023	J	`jnl`	Active learning for optimal intervention design in causal models. Nat. Mac. Intell. Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
2023	J	`jnl`	Causal Structure Learning: A Combinatorial Perspective. Found. Comput. Math. Chandler Squires, Caroline Uhler
2023	A*	`conf`	Identifiability Guarantees for Causal Disentanglement from Soft Interventions. NeurIPS Jiaqi Zhang, Kristjan H. Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
2023	J	`jnl`	Identifiability Guarantees for Causal Disentanglement from Soft Interventions. CoRR Jiaqi Zhang, Chandler Squires, Kristjan H. Greenewald, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
2023	A*	`conf`	Linear Causal Disentanglement via Interventions. ICML Chandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler
2023	A*	`conf`	Unpaired Multi-Domain Causal Representation Learning. NeurIPS Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
2023	J	`jnl`	Unpaired Multi-Domain Causal Representation Learning. CoRR Nils Sturma, Chandler Squires, Mathias Drton, Caroline Uhler
2022	J	`jnl`	Active Learning for Optimal Intervention Design in Causal Models. CoRR Jiaqi Zhang, Louis Cammarata, Chandler Squires, Themistoklis P. Sapsis, Caroline Uhler
2022	—	`conf`	Causal Imputation via Synthetic Interventions. CLeaR Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
2022	—	`conf`	Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler
2022	J	`jnl`	Causal Structure Learning: a Combinatorial Perspective. CoRR Chandler Squires, Caroline Uhler
2022	J	`jnl`	Linear Causal Disentanglement via Interventions. CoRR Anna Seigal, Chandler Squires, Caroline Uhler
2021	J	`jnl`	DCI: learning causal differences between gene regulatory networks. Bioinform. Anastasiya Belyaeva, Chandler Squires, Caroline Uhler
2021	A*	`conf`	Matching a Desired Causal State via Shift Interventions. NeurIPS Jiaqi Zhang, Chandler Squires, Caroline Uhler
2021	J	`jnl`	Matching a Desired Causal State via Shift Interventions. CoRR Jiaqi Zhang, Chandler Squires, Caroline Uhler
2020	J	`jnl`	Active Structure Learning of Causal DAGs via Directed Clique Tree. CoRR Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
2020	A*	`conf`	Active Structure Learning of Causal DAGs via Directed Clique Trees. NeurIPS Chandler Squires, Sara Magliacane, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam
2020	J	`jnl`	Efficient Permutation Discovery in Causal DAGs. CoRR Chandler Squires, Joshua Amaniampong, Caroline Uhler
2020	A	`conf`	Ordering-Based Causal Structure Learning in the Presence of Latent Variables. AISTATS Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
2020	A	`conf`	Permutation-Based Causal Structure Learning with Unknown Intervention Targets. UAI Chandler Squires, Yuhao Wang, Caroline Uhler
2019	A	`conf`	ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler
2019	J	`jnl`	Ordering-Based Causal Structure Learning in the Presence of Latent Variables. CoRR Daniel Irving Bernstein, Basil Saeed, Chandler Squires, Caroline Uhler
2019	J	`jnl`	Size of Interventional Markov Equivalence Classes in Random DAG Models. CoRR Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
2019	A	`conf`	Size of Interventional Markov Equivalence Classes in random DAG models. AISTATS Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires, Caroline Uhler
2018	A*	`conf`	Direct Estimation of Differences in Causal Graphs. NeurIPS Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler