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Keith Battocchi
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2020 – today
- 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 - 2021
- [c4]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 - [c3]Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis:
Estimating the Long-Term Effects of Novel Treatments. NeurIPS 2021: 2925-2935
2010 – 2019
- 2019
- [c2]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS 2019: 15167-15176 - [i1]Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis:
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR abs/1905.10176 (2019) - 2013
- [c1]Don Syme, Keith Battocchi, Kenji Takeda, Donna Malayeri, Tomas Petricek:
Themes in information-rich functional programming for internet-scale data sources. DDFP 2013: 1-4
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