| Gradient boosting from scratch P Grover Recuperado de https://medium. com/mlreview/gradient-boosting-from-scratch …, 2017 | 39 | 2017 |
| Regression Loss Functions All Machine Learners Should Know P Grover Retrieved August 31, 2021, 2018 | 25* | 2018 |
| Various implementations of collaborative filtering P Grover Towards Data Science, 2017 | 17 | 2017 |
| Evolution of object detection and localization algorithms P Grover medium, 2018 | 9 | 2018 |
| Gradient Boosting from Scratch. 2017 P Grover URL https://medium. com/mlreview/gradient-boosting-from-scratch-1e317ae4587d, 2019 | 5 | 2019 |
| Gradient boosting from scratch-ml review-medium P Grover Medium, 2017 | 5 | 2017 |
| Gradient Boosting from Scratch: Simplifying a Complex Algorithm P Grover ML Review 8, 2017 | 4 | 2017 |
| Fdb: Fraud dataset benchmark P Grover, Z Li, J Liu, J Zablocki, H Zhou, J Xu, A Cheng arXiv preprint arXiv 2208, 10, 2022 | 3 | 2022 |
| Opportunityfinder: A framework for automated causal inference H Nguyen, P Grover, D Khatwani arXiv preprint arXiv:2309.13103, 2023 | 1 | 2023 |
| Automated machine learning pipeline generation AV Bhise, H Botadra, JS Jang, J Zablocki, J Liu, N Kolotey, P Grover, ... US Patent App. 18/494,944, 2024 | | 2024 |
| Fraud Dataset Benchmark and Applications P Grover, J Xu, J Tittelfitz, A Cheng, Z Li, J Zablocki, J Liu, H Zhou arXiv preprint arXiv:2208.14417, 2022 | | 2022 |
| Transfer learning using mxnet P Grover https://groverpr.github.io/2020/02/18/Transfer-Learning-Using-MXNet.html, 2020 | | 2020 |
| Custom Loss Functions for Gradient Boosting SD Prince Grover https://medium.com/towards-data-science/custom-loss-functions-for-gradient …, 2018 | | 2018 |
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