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Jiaqi Zhang
Jiaqi Zhang
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Title
Cited by
Cited by
Year
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
572024
Active learning for optimal intervention design in causal models
J Zhang, L Cammarata, C Squires, TP Sapsis, C Uhler
Nature Machine Intelligence 5 (10), 1066-1075, 2023
302023
Machine-learning-optimized Cas12a barcoding enables the recovery of single-cell lineages and transcriptional profiles
NW Hughes, Y Qu*, J Zhang*, W Tang*, J Pierce*, C Wang, A Agrawal, ...
Molecular cell 82 (16), 3103-3118. e8, 2022
242022
Matching a desired causal state via shift interventions
J Zhang, C Squires, C Uhler
Advances in Neural Information Processing Systems 34, 19923-19934, 2021
222021
Towards causal foundation model: on duality between causal inference and attention
J Zhang, J Jennings, A Hilmkil, N Pawlowski, C Zhang, C Ma
International Conference on Machine Learning 41, 2023
112023
Membership testing in markov equivalence classes via independence queries
J Zhang*, K Shiragur*, C Uhler
International Conference on Artificial Intelligence and Statistics, 3925-3933, 2024
2*2024
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data
R Welch*, J Zhang*, C Uhler
arXiv preprint arXiv:2410.23620, 2024
12024
Meek Separators and Their Applications in Targeted Causal Discovery
K Shiragur*, J Zhang*, C Uhler
Advances in Neural Information Processing Systems 36, 2024
12024
Stochastic Augmented Projected Gradient Methods for the Large-Scale Precoding Matrix Indicator Selection Problem
J Zhang, Z Jin, B Jiang, Z Wen
IEEE Transactions on Wireless Communications 21 (11), 9553-9565, 2022
12022
Causal Discovery with Fewer Conditional Independence Tests
K Shiragur*, J Zhang*, C Uhler
International Conference on Machine Learning 41, 2024
2024
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