Online multiclass boosting. - Young Hun Jung; Jack Goetz; Ambuj Tewari (NIPS, 2017)

Active Learning for Non-Parametric Regression Using Purely Random Trees. - Jack Goetz; Ambuj Tewari; Paul M. Zimmerman (NeurIPS, 2018)

Federated User Representation Learning. - Duc Bui; Kshitiz Malik; Jack Goetz; Honglei Liu; Seungwhan Moon; Anuj Kumar; Kang G. Shin (CoRR, 2019)

Active Federated Learning. - Jack Goetz; Kshitiz Malik; Duc Bui; Seungwhan Moon; Honglei Liu; Anuj Kumar (CoRR, 2019)

Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning. - Jack Goetz; Ambuj Tewari (CoRR, 2019)

Federated Learning via Synthetic Data. - Jack Goetz; Ambuj Tewari (CoRR, 2020)

What Does the Machine Learn? Knowledge Representations of Chemical Reactivity. - Joshua Kammeraad; Jack Goetz; Eric Walker; Ambuj Tewari; Paul M. Zimmerman (J. Chem. Inf. Model., 2020)

AutoNLU: Detecting, root-causing, and fixing NLU model errors. - Pooja Sethi; Denis Savenkov; Forough Arabshahi; Jack Goetz; Micaela Tolliver; Nicolas Scheffer; Ilknur Kabul; Yue Liu; Ahmed Aly (CoRR, 2021)

FedSynth: Gradient Compression via Synthetic Data in Federated Learning. - Shengyuan Hu 001; Jack Goetz; Kshitiz Malik; Hongyuan Zhan; Zhe Liu; Yue Liu (CoRR, 2022)

Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels. - Danilo Neves Ribeiro; Omid Abdar; Jack Goetz; Mike Ross; Annie Dong; Kenneth D. Forbus; Ahmed Mohamed (CoRR, 2023)