Jack Goetz
Jack Goetz
Verified email at umich.edu
Title
Cited by
Cited by
Year
Online multiclass boosting
YH Jung, J Goetz, A Tewari
Advances in neural information processing systems 30, 919-928, 2017
212017
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
72018
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
62020
Active Federated Learning
J Goetz, K Malik, D Bui, S Moon, H Liu, A Kumar
arXiv preprint arXiv:1909.12641, 2019
42019
Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning
J Goetz, A Tewari
arXiv preprint arXiv:1910.05321, 2019
12019
Federated User Representation Learning
D Bui, K Malik, J Goetz, H Liu, S Moon, A Kumar, KG Shin
arXiv preprint arXiv:1909.12535, 2019
12019
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
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