Brintrup, Alexandra

8 publications

TMLR 2025 An Information Theoretic Approach to Machine Unlearning Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue, Cengiz Oztireli, Alexandra Brintrup

ICLRW 2025 Evaluating Inter-Column Logical Relationships in Synthetic Tabular Data Generation Yunbo Long, Liming Xu, Alexandra Brintrup

AAAI 2024 Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening Jack Foster, Stefan Schoepf, Alexandra Brintrup

DMLR 2024 Potion: Towards Poison Unlearning Stefan Schoepf, Jack Foster, Alexandra Brintrup

NeurIPSW 2023 Cooperative Logistics: Can Artificial Intelligence Enable Trustworthy Cooperation at Scale? Stephen Mak, Tim Pearce, Matthew Macfarlane, Liming Xu, Michael Ostroumov, Alexandra Brintrup

AISTATS 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling Tim Pearce, Felix Leibfried, Alexandra Brintrup

UAI 2019 Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Tim Pearce, Russell Tsuchida, Mohamed Zaki, Alexandra Brintrup, Andy Neely

ICML 2018 High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach Tim Pearce, Alexandra Brintrup, Mohamed Zaki, Andy Neely