Keith Battocchi

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 5

Top Topics

Causal Inference

Machine Learning

Abductive Reasoning

Top Venues

Publications

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)
Keith Battocchi, Eleanor Dillon, Maggie Hei, Greg Lewis, Miruna Oprescu, Vasilis Syrgkanis
Estimating the Long-Term Effects of Novel Treatments. NeurIPS (2021)
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)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. CoRR (2019)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments. NeurIPS (2019)
Don Syme, Keith Battocchi, Kenji Takeda, Donna Malayeri, Tomas Petricek
Themes in information-rich functional programming for internet-scale data sources. DDFP (2013)