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11/27/2022
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
We consider the problem of recovering the causal structure underlying ob...
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09/29/2020
Think before you act: A simple baseline for compositional generalization
Contrarily to humans who have the ability to recombine familiar expressi...
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06/10/2020
Active Invariant Causal Prediction: Experiment Selection through Stability
A fundamental difficulty of causal learning is that causal models can ge...
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06/26/2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
This work provides theoretical and empirical evidence that invariance-in...
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10/31/2017
Grouping-By-ID: Guarding Against Adversarial Domain Shifts
When training a deep network for image classification, one can broadly d...
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03/01/2017