Graph Switching Dynamical Systems
- Yongtuo Liu
- Sara Magliacane
- et al.
- 2023
- ICML 2023
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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9 results for Sara Magliacane
CITRIS: Causal Identifiability from Temporal Intervened Sequences
- Phillip Lippe
- Sara Magliacane
- et al.
- 2022
- ICML 2022
ADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING
- Biwei Huang
- Fan Feng
- et al.
- 2022
- ICLR 2022
Sample efficient active learning of causal trees
- Kristjan Greenewald
- Dmitriy Katz-Rogozhnikov
- et al.
- 2019
- NeurIPS 2019
Domain adaptation by using causal inference to predict invariant conditional distributions
- Sara Magliacane
- Thijs Van Ommen
- et al.
- 2018
- NeurIPS 2018
Verifiably safe exploration for end-to-end reinforcement learning
- Nathan Hunt
- Nathan Fulton
- et al.
- 2021
- HSCC 2021
BISCUIT: Causal Representation Learning from Binary Interactions
- Phillip Lippe
- Sara Magliacane
- et al.
- 2023
- UAI 2023
An upper bound for random measurement error in causal discovery
- Tineke Blom
- Anna Klimovskaia
- et al.
- 2018
- UAI 2018
Joint causal inference from multiple contexts
- Joris M. Mooij
- Sara Magliacane
- et al.
- 2020
- JMLR