Juan L. Gamella - Google Scholar

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20212022202320247 14 14 5

Co-authors

Christina Heinze-DemlApple AI/ML ResearchVerified email at apple.com
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Armeen TaebUniversity of WashingtonVerified email at uw.edu

Juan L. Gamella

Juan L. Gamella

Verified email at stat.math.ethz.ch

Statistics Causality Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Active invariant causal prediction: Experiment selection through stability JL Gamella, C Heinze-Deml Advances in Neural Information Processing Systems (NeurIPS) 34, 2020, 2020	34	2020
Perturbations and causality in gaussian latent variable models A Taeb, JL Gamella, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2101.06950v3, 2021	5	2021
Characterization and greedy learning of Gaussian structural causal models under unknown interventions JL Gamella, A Taeb, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2211.14897, 2022	1	2022
Learning and scoring Gaussian latent variable causal models with unknown additive interventions A Taeb, JL Gamella, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2101.06950, 2021		2021

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