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Case-based off-policy policy evaluation using prototype learning



Anton Matsson , Fredrik D. Johansson


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ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects



Newton Mwai Kinyanjui , Fredrik D. Johansson

* Machine Learning for Health (ML4H) - Extended Abstract 

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Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models



Rickard Karlsson , Martin Willbo , Zeshan Hussain , Rahul G. Krishnan , David Sontag , Fredrik D. Johansson


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Thompson Sampling for Bandits with Clustered Arms



Emil Carlsson , Devdatt Dubhashi , Fredrik D. Johansson

* Paper accepted to IJCAI-2021. The supplementary material is not part of the IJCAI-21 Proceedings 

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Learning Approximate and Exact Numeral Systems via Reinforcement Learning



Emil Carlsson , Devdatt Dubhashi , Fredrik D. Johansson

* CogSci 2021 

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Learning to search efficiently for causally near-optimal treatments



Samuel Håkansson , Viktor Lindblom , Omer Gottesman , Fredrik D. Johansson


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Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects



Fredrik D. Johansson , Uri Shalit , Nathan Kallus , David Sontag


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Estimation of Utility-Maximizing Bounds on Potential Outcomes



Maggie Makar , Fredrik D. Johansson , John Guttag , David Sontag


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Characterization of Overlap in Observational Studies



Fredrik D. Johansson , Dennis Wei , Michael Oberst , Tian Gao , Gabriel Brat , David Sontag , Kush R. Varshney


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A Survey on Graph Kernels



Nils M. Kriege , Fredrik D. Johansson , Christopher Morris


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