| Active federated learning J Goetz, K Malik, D Bui, S Moon, H Liu, A Kumar arXiv preprint arXiv:1909.12641, 2019 | 195 | 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 | 99 | 2019 |
| Federated learning via synthetic data J Goetz, A Tewari arXiv preprint arXiv:2008.04489, 2020 | 74 | 2020 |
| Learning to predict reaction conditions: relationships between solvent, molecular structure, and catalyst E Walker, J Kammeraad, J Goetz, MT Robo, A Tewari, PM Zimmerman Journal of chemical information and modeling 59 (9), 3645-3654, 2019 | 59 | 2019 |
| Learning from others without sacrificing privacy: simulation comparing centralized and federated machine learning on mobile health data JC Liu, J Goetz, S Sen, A Tewari JMIR mHealth and uHealth 9 (3), e23728, 2021 | 48 | 2021 |
| Fedsynth: Gradient compression via synthetic data in federated learning S Hu, J Goetz, K Malik, H Zhan, Z Liu, Y Liu arXiv preprint arXiv:2204.01273, 2022 | 38 | 2022 |
| Online multiclass boosting YH Jung, J Goetz, A Tewari Advances in neural information processing systems 30, 2017 | 35 | 2017 |
| 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 | 26 | 2020 |
| Active learning for non-parametric regression using purely random trees J Goetz, A Tewari, P Zimmerman Advances in neural information processing systems 31, 2018 | 26 | 2018 |
| Active learning in non-parametric and federated settings J Goetz | 3 | 2020 |
| Towards zero-shot frame semantic parsing with task agnostic ontologies and simple labels D Ribeiro, O Abdar, J Goetz, M Ross, A Dong, K Forbus, A Mohamed arXiv preprint arXiv:2305.03793, 2023 | 2 | 2023 |
| Mining events with declassified diplomatic documents Y Gao, J Goetz, M Connelly, R Mazumder | 2 | 2020 |
| Autonlu: Detecting, root-causing, and fixing nlu model errors P Sethi, D Savenkov, F Arabshahi, J Goetz, M Tolliver, N Scheffer, I Kabul, ... arXiv preprint arXiv:2110.06384, 2021 | 1 | 2021 |
| 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 |
| 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 |
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
