Totte Harinen

Normal Causes for Normal Effects: Reinvigorating the Correspondence Hypothesis About Judgments of Actual Causation

Totte Harinen, Totte Harinen, 2017 .

Machine learning reveals how personalized climate communication can both succeed and backfire pdf

Matthew Klenk, Emily Sumner, Rumen Iliev, 2021, ArXiv.

Mutual manipulability and causal inbetweenness

Totte Harinen, Totte Harinen, 2014, Synthese.

Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect

Totte Harinen, Zhenyu Zhao, Yumin Zhang, 2020, AIAI.

Feature Selection Methods for Uplift Modeling pdf

Yumin Zhang, Zhenyu Zhao, Totte Harinen, 2020, ArXiv.

CausalML: Python Package for Causal Machine Learning pdf

Jeong-Yoon Lee, Zhenyu Zhao, Totte Harinen, 2020, ArXiv.

Uplift Modeling for Multiple Treatments with Cost Optimization

Zhenyu Zhao, Totte Harinen, Totte Harinen, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber

Vasilis Syrgkanis, Greg Lewis, Keith Battocchi, 2021, KDD.

Normal Causes for Normal Effects

Totte Harinen, 2014 .