Conference Papers & Journal Articles

2023

1. NeurIPS

   RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion

   Zhuoqun Huang, Neil G. Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, and Benjamin I. P. Rubinstein

   In Advances in Neural Information Processing Systems, 2023

   accepted

   arXiv Bib

   @inproceedings{huang2023rsdel,
     title = {{RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion}},
     author = {Huang, Zhuoqun and Marchant, Neil G. and Lucas, Keane and Bauer, Lujo and Ohrimenko, Olga and Rubinstein, Benjamin I. P.},
     year = {2023},
     booktitle = {Advances in Neural Information Processing Systems},
     publisher = {Curran Associates, Inc.},
     note = {accepted},
   }

2. JSSAM

   Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors

   Neil G. Marchant, Benjamin I. P. Rubinstein, and Rebecca C. Steorts

   Journal of Survey Statistics and Methodology, Jan 2023

   arXiv Bib HTML Code

   @article{marchant2023bayesian,
     author = {Marchant, Neil G. and Rubinstein, Benjamin I. P. and Steorts, Rebecca C.},
     title = {{Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors}},
     year = {2023},
     journal = {Journal of Survey Statistics and Methodology},
     volume = {11},
     number = {3},
     pages = {569--596},
     month = jan,
     issn = {2325-0984},
     publisher = {Oxford University Press},
     doi = {10.1093/jssam/smac030},
     url = {https://doi.org/10.1093/jssam/smac030},
   }

2022

1. AAAI

   Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

   Neil G. Marchant, Benjamin I. P. Rubinstein, and Scott Alfeld

   In Proceedings of the AAAI Conference on Artificial Intelligence, Jan 2022

   arXiv Bib PDF Code Poster

   @inproceedings{marchant2021hard,
     title = {{Hard to Forget: Poisoning Attacks on Certified Machine Unlearning}},
     author = {Marchant, Neil G. and Rubinstein, Benjamin I. P. and Alfeld, Scott},
     year = {2022},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {36},
     number = {7},
     publisher = {AAAI Press},
     location = {Virtual Event},
     pages = {7691--7700},
     doi = {10.1609/aaai.v36i7.20736},
     url = {https://ojs.aaai.org/index.php/AAAI/article/view/20736},
   }

2021

1. KDD

   Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance

   Neil G. Marchant, and Benjamin I. P. Rubinstein

   In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Jan 2021

   arXiv Bib PDF Code Poster

   @inproceedings{marchant2021needle,
     author = {Marchant, Neil G. and Rubinstein, Benjamin I. P.},
     title = {{Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance}},
     booktitle = {Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
     publisher = {Association for Computing Machinery},
     location = {Virtual Event, Singapore},
     doi = {10.1145/3447548.3467435},
     pages = {1180--1190},
     year = {2021},
     isbn = {9781450383325},
     url = {https://doi.org/10.1145/3447548.3467435},
   }

2. JCGS

   d-blink: Distributed End-to-End Bayesian Entity Resolution

   Neil G. Marchant, Andee Kaplan, Daniel N. Elazar, Benjamin I. P. Rubinstein, and Rebecca C. Steorts

   Journal of Computational and Graphical Statistics, Jan 2021

   arXiv Bib HTML Code

   @article{marchant2020dblink,
     author = {Marchant, Neil G. and Kaplan, Andee and Elazar, Daniel N. and Rubinstein, Benjamin I. P. and Steorts, Rebecca C.},
     title = {{d-blink: Distributed End-to-End Bayesian Entity Resolution}},
     journal = {Journal of Computational and Graphical Statistics},
     volume = {30},
     number = {2},
     pages = {406--421},
     year = {2021},
     publisher = {Taylor \& Francis},
     doi = {10.1080/10618600.2020.1825451},
     url = {https://doi.org/10.1080/10618600.2020.1825451},
   }

2017

1. VLDB

   In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling

   Neil G. Marchant, and Benjamin I. P. Rubinstein

   Proceedings of the VLDB Endowment, Aug 2017

   arXiv Bib PDF Code Poster

   @article{marchant2017search,
     author = {Marchant, Neil G. and Rubinstein, Benjamin I. P.},
     title = {{In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling}},
     year = {2017},
     issue_date = {August 2017},
     publisher = {VLDB Endowment},
     volume = {10},
     number = {11},
     issn = {2150-8097},
     url = {https://doi.org/10.14778/3137628.3137642},
     doi = {10.14778/3137628.3137642},
     journal = {Proceedings of the VLDB Endowment},
     month = aug,
     pages = {1322--1333},
   }

2. JPCM

   Vortices and vortex lattices in quantum ferrofluids

   A. M. Martin, N. G. Marchant, D. H. J. O’Dell, and N. G. Parker

   Journal of Physics: Condensed Matter, Feb 2017

   Bib HTML PDF

   @article{martin2017vortices,
     doi = {10.1088/1361-648x/aa53a6},
     url = {https://doi.org/10.1088/1361-648x/aa53a6},
     year = {2017},
     month = feb,
     publisher = {{IOP} Publishing},
     volume = {29},
     number = {10},
     pages = {103004},
     author = {Martin, A. M. and Marchant, N. G. and O'Dell, D. H. J. and Parker, N. G.},
     title = {Vortices and vortex lattices in quantum ferrofluids},
     journal = {Journal of Physics: Condensed Matter},
   }

Theses

1. Ph.D.

   Statistical Approaches for Entity Resolution under Uncertainty

   Neil G. Marchant

   Faculty of Engineering and Information Technology, University of Melbourne, 2021

   PDF
2. M.Sc.

   Vortex Lattices in Quasi-Two-Dimensional Dipolar Bose-Einstein Condensates

   Neil G. Marchant

   Faculty of Science, University of Melbourne, 2014

   PDF