| Julia Gaudio, Xiaochun Niu, Ermin Wei | Exact Community Recovery in the Geometric SBM | 2024 | Symposium on Discrete Algorithms |
| Julia Gaudio, Nirmit Joshi | Community detection in the hypergraph SBM: Exact recovery given the similarity matrix link | 2023 | Conference on Learning Theory (COLT) |
| Julia Gaudio, Miklós Rácz, Anirudh Sridhar | Local canonical labeling of Erdős--Rényi random graphs link | 2023 | |
| Ali Kaan Kurbanzade, Julia Gaudio | Joint Facility and Demand Location Problem link | 2022 | |
| Souvik Dhara, Julia Gaudio, Elchanan Mossel, and Colin Sandon | The Power of Two Matrices in Spectral Algorithms link | 2022 | |
| Souvik Dhara, Julia Gaudio, Elchanan Mossel, and Colin Sandon | Spectral Algorithms Optimally Recover (Censored) Planted Dense Subgraphs link | 2022 | |
| Souvik Dhara, Julia Gaudio, Elchanan Mossel, and Colin Sandon | Spectral recovery of binary censored block models link | 2022 | Symposium on Discrete Algorithms (SODA) 2022 |
| Julia Gaudio and Elchanan Mossel | Shotgun Assembly of Erdős-Rényi Random Graphs link | 2022 | Electronic Communications in Probability |
| Julia Gaudio, Miklós Rácz, and Anirudh Sridhar | Exact Community Recovery in Correlated Stochastic Block Models link | 2022 | Conference on Learning Theory (COLT) |
| Christian Borgs, Jennifer Chayes, Julia Gaudio, Samantha Petti, Subhabrata Sen | A large deviation principle for block models link | 2020+ | Submitted |
| Julia Gaudio and Yury Polyanskiy | Attracting Random Walks link | 2020 | Electronic Journal of Probability |
| David Gamarnik and Julia Gaudio | Estimation of Monotone Multi-Index Models link | 2020 | |
| Julia Gaudio and Patrick Jaillet | An Improved Lower Bound for the Traveling Salesman Constant link | 2020 | Operations Research Letters |
| Saurabh Amin, Julia Gaudio, and Patrick Jaillet | Exponential convergence rates for stochastically ordered Markov processes under perturbation link | 2019 | Systems & Control Letters |
| David Gamarnik and Julia Gaudio | Sparse High-Dimensional Isotonic Regression link | 2019 | NeurIPS |
| Julia Romanski and Pascal Van Hentenryck | Benders decomposition for large-scale prescriptive evacuations link | 2016 | AAAI |
| Kunal Kumar, Julia Romanski, and Pascal Van Hentenryck | Optimizing Infrastructure Enhancements for Evacuation Planning link | 2016 | AAAI |
