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Workshop
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Fri 15:00
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Stability of Linear Structural Equation Model of Causal Inference
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Poster
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Thu 7:45
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Structural Causal Bandits: Where to Intervene?
Sanghack Lee · Elias Bareinboim
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Spotlight
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Thu 7:35
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Causal Inference via Kernel Deviance Measures
Jovana Mitrovic · Dino Sejdinovic · Yee Whye Teh
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Poster
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Wed 7:45
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Balanced Policy Evaluation and Learning
Nathan Kallus
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Workshop
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Fri 15:00
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Weighted Tensor Completion for Time-Series Causal Inference
Debmalya Mandal
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Workshop
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Fri 14:30
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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
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Poster
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Thu 7:45
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Uplift Modeling from Separate Labels
Ikko Yamane · Florian Yger · Jamal Atif · Masashi Sugiyama
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Poster
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Thu 7:45
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Causal Inference via Kernel Deviance Measures
Jovana Mitrovic · Dino Sejdinovic · Yee Whye Teh
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Poster
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Wed 14:00
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Equality of Opportunity in Classification: A Causal Approach
Junzhe Zhang · Elias Bareinboim
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Poster
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Thu 7:45
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Removing Hidden Confounding by Experimental Grounding
Nathan Kallus · Aahlad Puli · Uri Shalit
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Poster
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Thu 14:00
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Bayesian Structure Learning by Recursive Bootstrap
Raanan Y. Rohekar · Yaniv Gurwicz · Shami Nisimov · Guy Koren · Gal Novik
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Poster
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Thu 7:45
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Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus · Xiaojie Mao · Madeleine Udell
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