| EconML: a Python package for ML-based heterogeneous treatment effects estimation K Battocchi, E Dillon, M Hei, G Lewis, P Oka, M Oprescu, V Syrgkanis Version 0. x, 2019 | 132 | 2019 |
| Machine learning estimation of heterogeneous treatment effects with instruments V Syrgkanis, V Lei, M Oprescu, M Hei, K Battocchi, G Lewis Advances in Neural Information Processing Systems 32, 2019 | 77 | 2019 |
| Causal inference and machine learning in practice with econml and causalml: Industrial use cases at microsoft, tripadvisor, uber V Syrgkanis, G Lewis, M Oprescu, M Hei, K Battocchi, E Dillon, J Pan, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 32 | 2021 |
| Estimating the long-term effects of novel treatments K Battocchi, E Dillon, M Hei, G Lewis, M Oprescu, V Syrgkanis Advances in Neural Information Processing Systems 34, 2925-2935, 2021 | 14 | 2021 |
| EconML: A machine learning library for estimating heterogeneous treatment effects M Oprescu, V Syrgkanis, K Battocchi, M Hei, G Lewis 33rd Conference on Neural Information Processing Systems, 6, 2019 | 8 | 2019 |
