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91 Results
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Spotlight
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Tue 14:35 |
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti · Gowtham Reddy Abbavaram · Vineeth N Balasubramanian · Amit Sharma |
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Spotlight
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Tue 10:35 |
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments Jinkun Lin · Anqi Zhang · Mathias Lécuyer · Jinyang Li · Aurojit Panda · Siddhartha Sen |
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Poster
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Tue 15:30 |
Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti · Gowtham Reddy Abbavaram · Vineeth N Balasubramanian · Amit Sharma |
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Spotlight
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Tue 13:35 |
The Role of Deconfounding in Meta-learning Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI |
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Poster
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Tue 15:30 |
The Role of Deconfounding in Meta-learning Yinjie Jiang · Zhengyu Chen · Kun Kuang · Luotian Yuan · Xinhai Ye · Zhihua Wang · Fei Wu · Ying WEI |
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Spotlight
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Tue 14:25 |
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele · Julius von Kügelgen · Jonas Kübler · Elke Kirschbaum · Bernhard Schölkopf · Dominik Janzing |
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Poster
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Tue 15:30 |
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele · Julius von Kügelgen · Jonas Kübler · Elke Kirschbaum · Bernhard Schölkopf · Dominik Janzing |
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Oral
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Tue 13:45 |
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim |
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Poster
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Wed 15:30 |
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster · Arpi Vezer · Craig Glastonbury · Páidí Creed · Sam Abujudeh · Aaron Sim |
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Spotlight
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Wed 13:35 |
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang |
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Poster
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Wed 15:30 |
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources Xiaoqing (Ellen) Tan · Chung-Chou H. Chang · Ling Zhou · Lu Tang |
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Oral
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Thu 7:55 |
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models Paul Rolland · Volkan Cevher · Matthäus Kleindessner · Chris Russell · Dominik Janzing · Bernhard Schölkopf · Francesco Locatello |