Vietri, Giuseppe

10 publications

ICLR 2025 Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergul Aydore

ICML 2023 Generating Private Synthetic Data with Genetic Algorithms Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu

ICML 2022 Improved Regret for Differentially Private Exploration in Linear MDP Dung Daniel T Ngo, Giuseppe Vietri, Steven Wu

NeurIPS 2022 Private Synthetic Data for Multitask Learning and Marginal Queries Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael J. Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Z. Wu

NeurIPS 2021 Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods Terrance Liu, Giuseppe Vietri, Steven Z. Wu

NeurIPSW 2021 Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods Terrance Liu, Giuseppe Vietri, Steven Wu

ICML 2021 Leveraging Public Data for Practical Private Query Release Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan Ullman, Steven Wu

ICML 2020 New Oracle-Efficient Algorithms for Private Synthetic Data Release Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Steven Wu

ICML 2020 Oracle Efficient Private Non-Convex Optimization Seth Neel, Aaron Roth, Giuseppe Vietri, Steven Wu

ICML 2020 Private Reinforcement Learning with PAC and Regret Guarantees Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Steven Wu