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Journal Articles
- 2023
[j1]Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd:
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. J. Mach. Learn. Res. 24: 154:1-154:48 (2023)
Conference and Workshop Papers
- 2022
- [c4]Jonathan Brophy, Daniel Lowd:
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees. NeurIPS 2022 - 2021
- [c3]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh:
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. BlackboxNLP@EMNLP 2021: 69-78 - [c2]Jonathan Brophy, Daniel Lowd:
Machine Unlearning for Random Forests. ICML 2021: 1092-1104 - 2017
- [c1]Jonathan Brophy, Daniel Lowd:
Collective Classification of Social Network Spam. AAAI Workshops 2017
Informal and Other Publications
- 2022
- [i7]Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd:
Identifying Adversarial Attacks on Text Classifiers. CoRR abs/2201.08555 (2022) - [i6]Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd:
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. CoRR abs/2205.00359 (2022) - [i5]Jonathan Brophy, Daniel Lowd:
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees. CoRR abs/2205.11412 (2022) - [i4]Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd:
TCAB: A Large-Scale Text Classification Attack Benchmark. CoRR abs/2210.12233 (2022) - 2020
- [i3]Jonathan Brophy, Daniel Lowd:
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam. CoRR abs/2001.04909 (2020) - [i2]Jonathan Brophy, Daniel Lowd:
TREX: Tree-Ensemble Representer-Point Explanations. CoRR abs/2009.05530 (2020) - [i1]Jonathan Brophy, Daniel Lowd:
DART: Data Addition and Removal Trees. CoRR abs/2009.05567 (2020)
Coauthor Index
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