Totte Harinen - RankMe

14 papers A* 3B 3Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	3rd Workshop on Causal Inference and Machine Learning in Practice. KDD (2) Jeong-Yoon Lee, Jing Pan, Yifeng Wu, Totte Harinen, Paul Lo, Zhenyu Zhao, Huigang Chen, Sichao Yin, Roland Stevenson, Jingshen Wang, Yingfei Wang, Chu Wang, Zeyu Zheng
2025	J	`jnl`	ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning. CoRR Yanxia Zhang, Francine Chen, Shabnam Hakimi, Totte Harinen, Alex Filipowicz, Yan-Ying Chen, Rumen Iliev, Nikos Aréchiga, Kalani Murakami, Kent Lyons, Charlene C. Wu, Matt Klenk
2024	A*	`conf`	2nd Workshop on Causal Inference and Machine Learning in Practice. KDD Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson
2023	B	`conf`	Can Behavioral Experts Predict Outcome Heterogeneity? CogSci Rumen Iliev, Alexandre L. S. Filipowicz, Emily Sarah Sumner, Francine Chen, Nikos Aréchiga, Scott A. Carter, Totte Harinen, Kate A. Sieck, Charlene C. Wu
2023	A*	`conf`	Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD 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
2022	B	`conf`	Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. CogSci 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
2022	—	`conf`	Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect. AIAI (2) Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung
2021	A*	`conf`	Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. KDD 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
2021	J	`jnl`	Machine learning reveals how personalized climate communication can both succeed and backfire. CoRR Totte Harinen, Alexandre L. S. Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner
2020	J	`jnl`	CausalML: Python Package for Causal Machine Learning. CoRR Huigang Chen, Totte Harinen, Jeong-Yoon Lee, Mike Yung, Zhenyu Zhao
2020	J	`jnl`	Feature Selection Methods for Uplift Modeling. CoRR Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung
2019	B	`conf`	Uplift Modeling for Multiple Treatments with Cost Optimization. DSAA Zhenyu Zhao, Totte Harinen
2019	J	`jnl`	Uplift Modeling for Multiple Treatments with Cost Optimization. CoRR Zhenyu Zhao, Totte Harinen
2018	J	`jnl`	Mutual manipulability and causal inbetweenness. Synth. Totte Harinen