Mutual manipulability and causal inbetweenness. - Totte Harinen (Synth., 2018)

Uplift Modeling for Multiple Treatments with Cost Optimization. - Zhenyu Zhao; Totte Harinen (DSAA, 2019)

CausalML: Python Package for Causal Machine Learning. - Huigang Chen; Totte Harinen; Jeong-Yoon Lee; Mike Yung; Zhenyu Zhao (CoRR, 2020)

Feature Selection Methods for Uplift Modeling. - Zhenyu Zhao; Yumin Zhang; Totte Harinen; Mike Yung (CoRR, 2020)

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber. - 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 (KDD, 2021)

Machine learning reveals how personalized climate communication can both succeed and backfire. - Totte Harinen; Alexandre L. S. Filipowicz; Shabnam Hakimi; Rumen Iliev; Matthew Klenk 001; Emily Sumner (CoRR, 2021)

Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. - 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 (CogSci, 2022)

Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect. - Zhenyu Zhao 001; Yumin Zhang; Totte Harinen; Mike Yung (AIAI (2), 2022)

Can Behavioral Experts Predict Outcome Heterogeneity? - Rumen Iliev; Alexandre L. S. Filipowicz; Emily Sarah Sumner; Francine Chen 001; Nikos Aréchiga; Scott A. Carter; Totte Harinen; Kate A. Sieck; Charlene C. Wu (CogSci, 2023)

Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. - 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 (KDD, 2023)

2nd Workshop on Causal Inference and Machine Learning in Practice. - Jeong-Yoon Lee; Yifeng Wu; Totte Harinen; Jing Pan; Paul Lo; Zhenyu Zhao; Huigang Chen; Zeyu Zheng; Hasta Vanchinathan; Yingfei Wang; Roland Stevenson (KDD, 2024)

ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning. - Yanxia Zhang; Francine Chen 001; Shabnam Hakimi; Totte Harinen; Alex Filipowicz; Yan-Ying Chen; Rumen Iliev; Nikos Aréchiga; Kalani Murakami; Kent Lyons; Charlene C. Wu; Matt Klenk (CoRR, 2025)