A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding
Alexander Goldberg, Giulia Fanti and Nihar B. Shah
arXiv, 2025 (Under submission).
Research
Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment
Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, Benedictus Kent Rachmat, Zhen Xu, Isabelle Guyon, Nihar B. Shah
arXiv, 2024 (Under submission).
Benchmarking Fraud Detectors on Private Graph Data
Alexander Goldberg, Giulia Fanti, Nihar B. Shah, and Steven Wu
ACM KDD, 2025.
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar Shah, Iryna Gurevych
arXiv, 2024.
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
Aadyaa Maddi, Swadhin Routray, Alexander Goldberg, Giulia Fanti
PPAI Workshop @ AAAI 2024.
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice Oh, Alekh Agarwal, Danielle Belgrave, Nihar B. Shah
PLOS One, 2025.
Blog post
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection
Alexander Goldberg, Giulia Fanti and Nihar B. Shah
ACM SIGMETRICS, 2023.
Towards Differentially Private Inference on Network Data
Undergraduate Thesis 2018, awarded the Thomas T. Hoopes Prize.