Complete works of Jack Goetz (6)

1. 2017 “Online Multiclass Boosting” (with Young Hun Jung & Ambuj Tewari) · NIPS 2017 proceedings
2. 2018 “Active Learning for Non-Parametric Regression Using Purely Random Trees” (with Ambuj Tewari & Paul M. Zimmerman) · NeurIPS 2018 proceedings
3. 2019 “Active Federated Learning” (with Kshitiz Malik, Duc Bui, Seungwhan Moon, Honglei Liu & Anuj Kumar) · arXiv/NeurIPS federated-learning workshop
4. 2020 “What Does the Machine Learn? Knowledge Representations of Chemical Reactivity” (with Joshua Kammeraad, Eric Walker, Ambuj Tewari & Paul M. Zimmerman) · Journal of Chemical Information and Modeling, 60(3) this record
5. 2022 “FedSynth: Gradient Compression via Synthetic Data in Federated Learning” (with Shengyuan Hu, Kshitiz Malik, Hongyuan Zhan, Zhe Liu & Yue Liu) · arXiv/CoRR preprint
6. 2023 “Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels” (with Danilo Neves Ribeiro et al.) · arXiv/CoRR preprint