| Online multiclass boosting YH Jung, J Goetz, A Tewari Advances in neural information processing systems 30, 919-928, 2017 | 21 | 2017 |
| Active learning for non-parametric regression using purely random trees J Goetz, A Tewari, P Zimmerman Advances in Neural Information Processing Systems, 2537-2546, 2018 | 7 | 2018 |
| What Does the Machine Learn? Knowledge Representations of Chemical Reactivity JA Kammeraad, J Goetz, EA Walker, A Tewari, PM Zimmerman Journal of Chemical Information and Modeling 60 (3), 1290-1301, 2020 | 6 | 2020 |
| Active Federated Learning J Goetz, K Malik, D Bui, S Moon, H Liu, A Kumar arXiv preprint arXiv:1909.12641, 2019 | 4 | 2019 |
| Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning J Goetz, A Tewari arXiv preprint arXiv:1910.05321, 2019 | 1 | 2019 |
| Federated User Representation Learning D Bui, K Malik, J Goetz, H Liu, S Moon, A Kumar, KG Shin arXiv preprint arXiv:1909.12535, 2019 | 1 | 2019 |
| Federated Learning via Synthetic Data J Goetz, A Tewari arXiv preprint arXiv:2008.04489, 2020 | | 2020 |
| Understanding the limits of machines in learning chemical reactivity J Kammeraad, J Goetz, E Walker, A Tewari, P Zimmerman ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019 | | 2019 |
| Mining Events with Declassified Diplomatic Documents Y Gao, J Goetz, R Mazumder, M Connelly arXiv preprint arXiv:1712.07319, 2017 | | 2017 |
