Sara Magliacane
Cited by
Cited by
Domain adaptation by using causal inference to predict invariant conditional distributions
S Magliacane, T van Ommen, T Claassen, S Bongers, P Versteeg, ...
arXiv preprint arXiv:1707.06422, 2017
Joint causal inference from multiple contexts
JM Mooij, S Magliacane, T Claassen
JMLR, 2020
Citris: Causal identifiability from temporal intervened sequences
P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, S Gavves
International Conference on Machine Learning, 13557-13603, 2022
Git2PROV: Exposing Version Control System Content as W3C PROV.
T De Nies, S Magliacane, R Verborgh, S Coppens, P Groth, E Mannens, ...
ISWC (Posters & Demos), 125-128, 2013
Ancestral Causal Inference
S Magliacane, T Claassen, JM Mooij
NIPS 2016, 2016
Adarl: What, where, and how to adapt in transfer reinforcement learning
B Huang, F Feng, C Lu, S Magliacane, K Zhang
ICLR 2022, 2021
Efficient Execution of Top-K SPARQL Queries
S Magliacane, A Bozzon, E Della Valle
ISWC 2012, 2012
Verifiably safe exploration for end-to-end reinforcement learning
N Hunt, N Fulton, S Magliacane, TN Hoang, S Das, A Solar-Lezama
Proceedings of the 24th International Conference on Hybrid Systems …, 2021
Causal representation learning for instantaneous and temporal effects in interactive systems
P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves
ICLR 2022, 2022
Sample efficient active learning of causal trees
K Greenewald, D Katz, K Shanmugam, S Magliacane, M Kocaoglu, ...
Advances in Neural Information Processing Systems 32, 2019
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, 21500-21511, 2020
Factored adaptation for non-stationary reinforcement learning
F Feng, B Huang, K Zhang, S Magliacane
NeurIPS 2021, 2022
Reconstructing Provenance
S Magliacane
ISWC 2012, 2012
Automatic Metadata Annotation through Reconstructing Provenance
P Groth, Y Gil, S Magliacane
Third International Workshop on the role of Semantic Web in Provenance …, 2012
Biscuit: Causal representation learning from binary interactions
P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves
Uncertainty in Artificial Intelligence, 1263-1273, 2023
Multi-view causal representation learning with partial observability
D Yao, D Xu, S Lachapelle, S Magliacane, P Taslakian, G Martius, ...
ICLR 2024 Spotlight, 2023
An Upper Bound for Random Measurement Error in Causal Discovery
T Blom, A Klimovskaia, S Magliacane, JM Mooij
Uncertainty in Artificial Intelligence, 2018
Intervention Design for Causal Representation Learning
P Lippe, S Magliacane, S Löwe, YM Asano, T Cohen, E Gavves
UAI 2022 Workshop on Causal Representation Learning, 2022
foxPSL: A Fast, Optimized and eXtended PSL implementation
S Magliacane, P Stutz, P Groth, A Bernstein
International Journal of Approximate Reasoning 67, 111-121, 2015
Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries
A Bozzon, E Della Valle, S Magliacane
Search Computing, 143-156, 2012
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