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91 Results
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Workshop
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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder Xiaoyu Liu · Jiaxin Yuan · Bang An · Yuancheng Xu · Yifan Yang · Furong Huang |
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Workshop
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C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder Xiaoyu Liu · Jiaxin Yuan · Bang An · Yuancheng Xu · Yifan Yang · Furong Huang |
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Workshop
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Sat 16:45 |
Causal vs Causality-inspired representation learning Sara Magliacane |
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Workshop
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Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder · Yoav Wald · Claudia Shi · Suchi Saria · David Blei |
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Poster
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Wed 17:00 |
Nonlinear Causal Discovery with Latent Confounders David Kaltenpoth · Jilles Vreeken |
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Poster
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Wed 14:00 |
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders Raanan Yehezkel Rohekar · Shami Nisimov · Yaniv Gurwicz · Gal Novik |
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Poster
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Tue 17:00 |
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany · Mohammad Alizadeh · Devavrat Shah |
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Poster
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Tue 14:00 |
DRCFS: Doubly Robust Causal Feature Selection Francesco Quinzan · Ashkan Soleymani · Patrick Jaillet · Cristian R. Rojas · Stefan Bauer |
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Poster
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Tue 17:00 |
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang · TONG WU · Yunlong Wang · Yong Cai · Hengrui Cai |
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Poster
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Thu 16:30 |
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro · Tian Xia · Miguel Monteiro · Nick Pawlowski · Ben Glocker |
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Poster
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Tue 17:00 |
Covariate balancing using the integral probability metric for causal inference Insung Kong · Yuha Park · Joonhyuk Jung · Kwonsang Lee · Yongdai Kim |
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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 |