In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling. - Neil G. Marchant; Benjamin I. P. Rubinstein (Proc. VLDB Endow., 2017)

A general framework for label-efficient online evaluation with asymptotic guarantees. - Neil G. Marchant; Benjamin I. P. Rubinstein (CoRR, 2020)

Statistical Approaches for Entity Resolution under Uncertainty. - Neil G. Marchant (2020)

Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance. - Neil G. Marchant; Benjamin I. P. Rubinstein (KDD, 2021)

d-blink: Distributed End-to-End Bayesian Entity Resolution. - Neil G. Marchant; Andee Kaplan; Daniel N. Elazar; Benjamin I. P. Rubinstein; Rebecca C. Steorts (J. Comput. Graph. Stat., 2021)

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. - Neil G. Marchant; Benjamin I. P. Rubinstein; Scott Alfeld (AAAI, 2022)

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion. - Zhuoqun Huang; Neil G. Marchant; Keane Lucas; Lujo Bauer; Olga Ohrimenko; Benjamin I. P. Rubinstein (NeurIPS, 2023)

Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors. - Neil G. Marchant; Benjamin I. P. Rubinstein; Rebecca C. Steorts (CoRR, 2023)

Certified Robustness of Learning-based Static Malware Detectors. - Zhuoqun Huang; Neil G. Marchant; Keane Lucas; Lujo Bauer; Olga Ohrimenko; Benjamin I. P. Rubinstein (CoRR, 2023)

CERT-ED: Certifiably Robust Text Classification for Edit Distance. - Zhuoqun Huang; Neil G. Marchant; Olga Ohrimenko; Benjamin I. P. Rubinstein (EMNLP (Findings), 2024)

Adaptive Data Analysis for Growing Data. - Neil G. Marchant; Benjamin I. P. Rubinstein (CoRR, 2024)