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91 Results
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Oral Session
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Tue 20:30 |
Oral A1 Causal Learning, RL, Personalization |
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Poster
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Wed 14:00 |
Approximate Causal Effect Identification under Weak Confounding Ziwei Jiang · Lai Wei · Murat Kocaoglu |
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Poster
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Wed 14:00 |
Constrained Causal Bayesian Optimization Virginia Aglietti · Alan Malek · Ira Ktena · Silvia Chiappa |
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Poster
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Tue 17:00 |
Weakly Supervised Disentangled Generative Causal Representation Learning Xinwei Shen · Furui Liu · Hanze Dong · Qing Lian · Zhitang Chen · Tong Zhang |
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Poster
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Thu 13:30 |
Estimating Possible Causal Effects with Latent Variables via Adjustment Tian-Zuo Wang · Tian Qin · Zhi-Hua Zhou |
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Poster
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Tue 14:00 |
Estimating Causal Effects using a Multi-task Deep Ensemble Ziyang Jiang · Zhuoran Hou · Yiling Liu · Yiman Ren · Keyu Li · David Carlson |
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Poster
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Tue 17:00 |
Causal Proxy Models for Concept-based Model Explanations Zhengxuan Wu · Karel D'Oosterlinck · Atticus Geiger · Amir Zur · Christopher Potts |
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Poster
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Thu 16:30 |
Linear Causal Disentanglement via Interventions Chandler Squires · Anna Seigal · Salil Bhate · Caroline Uhler |
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Poster
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Tue 17:00 |
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua · Kyriacos Nikiforou · Borja Ibarz · Ioana Bica · Michela Paganini · Charles Blundell · Jovana Mitrovic · Petar Veličković |
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Poster
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Tue 17:00 |
Causal Bounds in Quasi-Markovian Graphs Madhumitha Shridharan · Garud Iyengar |
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Oral
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Tue 21:34 |
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge Shahine Bouabid · Jake Fawkes · Dino Sejdinovic |
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Poster
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Wed 17:00 |
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai · Zhiyi Huang · Wei Chen · Zhifeng Hao · Kun Zhang |