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91 Results
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Poster
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Tue 15:30 |
Instrumental Variable Regression with Confounder Balancing Anpeng Wu · Kun Kuang · Bo Li · Fei Wu |
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Poster
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Wed 15:30 |
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov · Whitney Newey · Víctor Quintas-Martínez · Vasilis Syrgkanis |
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Spotlight
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Tue 14:15 |
Instrumental Variable Regression with Confounder Balancing Anpeng Wu · Kun Kuang · Bo Li · Fei Wu |
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Poster
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Wed 15:30 |
Scalable Computation of Causal Bounds Madhumitha Shridharan · Garud Iyengar |
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Oral
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Wed 10:45 |
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov · Whitney Newey · Víctor Quintas-Martínez · Vasilis Syrgkanis |
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Spotlight
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Wed 8:35 |
Validating Causal Inference Methods Harsh Parikh · Carlos Varjao · Louise Xu · Eric Tchetgen Tchetgen |
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Poster
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Wed 15:30 |
Validating Causal Inference Methods Harsh Parikh · Carlos Varjao · Louise Xu · Eric Tchetgen Tchetgen |
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Poster
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Wed 15:30 |
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality Jiayao Zhang · Hongming ZHANG · Weijie Su · Dan Roth |
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Spotlight
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Wed 14:00 |
Deep Causal Metric Learning Xiang Deng · Zhongfei Zhang |
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Poster
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Wed 15:30 |
Deep Causal Metric Learning Xiang Deng · Zhongfei Zhang |
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Spotlight
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Tue 8:55 |
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality Jiayao Zhang · Hongming ZHANG · Weijie Su · Dan Roth |
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Spotlight
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Tue 13:15 |
Coordinated Double Machine Learning Nitai Fingerhut · Matteo Sesia · Yaniv Romano |