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Journal Articles
- 2018
[j1]Totte Harinen:
Mutual manipulability and causal inbetweenness. Synth. 195(1): 35-54 (2018)
Conference and Workshop Papers
- 2024
- [c7]Jeong-Yoon Lee
, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson:
2nd Workshop on Causal Inference and Machine Learning in Practice. KDD 2024: 6726 - 2023
- [c6]Rumen Iliev, Alexandre L. S. Filipowicz, Emily Sarah Sumner, Francine Chen, Nikos Aréchiga, Scott A. Carter, Totte Harinen, Kate A. Sieck, Charlene C. Wu:
Can Behavioral Experts Predict Outcome Heterogeneity? CogSci 2023 - [c5]Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma:
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD 2023: 5867 - 2022
- [c4]Alexandre L. S. Filipowicz, Charlene C. Wu, Matthew L. Lee, David A. Shamma, Shabnam Hakimi, Scott A. Carter, Rumen Iliev, Totte Harinen, Emily Sumner, Candice Hogan:
Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. CogSci 2022 - [c3]Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung:
Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect. AIAI (2) 2022: 217-230 - 2021
- [c2]Vasilis Syrgkanis, Greg Lewis, Miruna Oprescu, Maggie Hei, Keith Battocchi, Eleanor Dillon, Jing Pan, Yifeng Wu, Paul Lo, Huigang Chen, Totte Harinen, Jeong-Yoon Lee:
Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. KDD 2021: 4072-4073 - 2019
- [c1]Zhenyu Zhao, Totte Harinen:
Uplift Modeling for Multiple Treatments with Cost Optimization. DSAA 2019: 422-431
Informal and Other Publications
- 2021
- [i4]Totte Harinen, Alexandre L. S. Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner:
Machine learning reveals how personalized climate communication can both succeed and backfire. CoRR abs/2109.05104 (2021) - 2020
- [i3]Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao:
CausalML: Python Package for Causal Machine Learning. CoRR abs/2002.11631 (2020) - [i2]Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung:
Feature Selection Methods for Uplift Modeling. CoRR abs/2005.03447 (2020) - 2019
- [i1]Zhenyu Zhao, Totte Harinen:
Uplift Modeling for Multiple Treatments with Cost Optimization. CoRR abs/1908.05372 (2019)
Coauthor Index
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