Jonathan Brophy

12 papers A* 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees.
J. Mach. Learn. Res.
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees.
CoRR
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Identifying Adversarial Attacks on Text Classifiers.
CoRR
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd
2022 A* conf
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees.
NeurIPS
Jonathan Brophy, Daniel Lowd
2022 J jnl
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees.
CoRR
Jonathan Brophy, Daniel Lowd
2022 J jnl
TCAB: A Large-Scale Text Classification Attack Benchmark.
CoRR
Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd
2021 A* conf
Machine Unlearning for Random Forests.
ICML
Jonathan Brophy, Daniel Lowd
2021 — conf
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations.
BlackboxNLP@EMNLP
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh
2020 J jnl
DART: Data Addition and Removal Trees.
CoRR
Jonathan Brophy, Daniel Lowd
2020 J jnl
EGGS: A Flexible Approach to Relational Modeling of Social Network Spam.
CoRR
Jonathan Brophy, Daniel Lowd
2020 J jnl
TREX: Tree-Ensemble Representer-Point Explanations.
CoRR
Jonathan Brophy, Daniel Lowd
2017 — conf
Collective Classification of Social Network Spam.
AAAI Workshops
Jonathan Brophy, Daniel Lowd