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ORCIDAAAI Bridge Program on Continual Causality 2023, Washington, DC, USA
- Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA. Proceedings of Machine Learning Research 208, PMLR 2023 - Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes:
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. 1-10 - Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. 11-17 - Daigo Fujiwara, Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani, Shohei Shimizu:
Prospects of Continual Causality for Industrial Applications. 18-24 - Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin:
From IID to the Independent Mechanisms assumption in continual learning. 25-29 - Florian Peter Busch, Jonas Seng, Moritz Willig, Matej Zecevic:
Continually Updating Neural Causal Models. 30-37 - Jonas Seng, Florian Peter Busch, Matej Zecevic, Moritz Willig:
Treatment Effect Estimation to Guide Model Optimization in Continual Learning. 38-44 - Matej Zecevic, Moritz Willig, Florian Peter Busch, Jonas Seng:
Continual Causal Abstractions. 45-51 - Moritz Willig, Matej Zecevic, Jonas Seng, Florian Peter Busch:
Causal Concept Identification in Open World Environments. 52-58 - Timothée Lesort:
Spurious Features in Continual Learning. 59-62 - Nikhil Churamani, Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Towards Causal Replay for Knowledge Rehearsal in Continual Learning. 63-70 - Sriraam Natarajan, Kristian Kersting:
Never Ending Reasoning and Learning: Opportunities and Challenges. 71-74 - Sanghyun Kim, Jungwon Choi, NamHee Kim, Jaesung Ryu, Juho Lee:
Modeling Uplift from Observational Time-Series in Continual Scenarios. 75-84 - Luca Castri, Sariah Mghames, Nicola Bellotto:
From Continual Learning to Causal Discovery in Robotics. 85-91 - Donggyu Lee, Sangwon Jung, Taesup Moon:
Issues for Continual Learning in the Presence of Dataset Bias. 92-99
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