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Elliot Creager

University of Toronto

26

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877

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Environment Inference for Invariant Learning

2021 ICML | International Conference on Machine Learning
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Citations (19)
On Disentangled Representations Learned From Correlated Data

2021 arXiv: Learning
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Citations (10)
Counterfactual Data Augmentation using Locally Factored Dynamics

2020 NeurIPS | Neural Information Processing Systems
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Causal Modeling for Fairness In Dynamical Systems

2020 ICML | International Conference on Machine Learning
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Exchanging Lessons Between Algorithmic Fairness and Domain Generalization

2020 arXiv: Learning
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Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach

2020 ICML | International Conference on Machine Learning
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Is Independence all you need? On the Generalization of Representations Learned from Correlated Data

2020 arXiv: Learning
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Citations (11)
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification.

2020 arXiv: Learning
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Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach

2020 arXiv: Learning
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Causal Modeling for Fairness in Dynamical Systems.

2019 arXiv: Learning
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Citations (6)