Please see my Google Scholar profile for bibliometrics.

Conference Papers & Journal Articles


  1. NeurIPS
    RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
    In Advances in Neural Information Processing Systems, 2023
  2. JSSAM
    Bayesian Graphical Entity Resolution using Exchangeable Random Partition Priors
    Neil G. MarchantBenjamin I. P. Rubinstein, and Rebecca C. Steorts
    Journal of Survey Statistics and Methodology, Jan 2023


  1. AAAI
    Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
    Neil G. MarchantBenjamin I. P. Rubinstein, and Scott Alfeld
    In Proceedings of the AAAI Conference on Artificial Intelligence, Jan 2022


  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
  2. JCGS


  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
  2. JPCM
    Vortices and vortex lattices in quantum ferrofluids
    A. M. MartinN. G. Marchant, D. H. J. O’Dell, and N. G. Parker
    Journal of Physics: Condensed Matter, Feb 2017


  1. Ph.D.
    Statistical Approaches for Entity Resolution under Uncertainty
    Neil G. Marchant
    Faculty of Engineering and Information Technology, University of Melbourne, 2021
  2. M.Sc.
    Vortex Lattices in Quasi-Two-Dimensional Dipolar Bose-Einstein Condensates
    Neil G. Marchant
    Faculty of Science, University of Melbourne, 2014