Giuseppe Vietri

21 papers A* 9Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation. ICLR Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre
2024	J	`jnl`	Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation. CoRR Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre
2023	A*	`conf`	Generating Private Synthetic Data with Genetic Algorithms. ICML Terrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu
2023	J	`jnl`	Generating Private Synthetic Data with Genetic Algorithms. CoRR Terrance Liu, Jingwu Tang, Giuseppe Vietri, Zhiwei Steven Wu
2022	J	`jnl`	Confidence-Ranked Reconstruction of Census Microdata from Published Statistics. CoRR Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
2022	A*	`conf`	Improved Regret for Differentially Private Exploration in Linear MDP. ICML Dung Daniel T. Ngo, Giuseppe Vietri, Steven Wu
2022	J	`jnl`	Improved Regret for Differentially Private Exploration in Linear MDP. CoRR Dung Daniel T. Ngo, Giuseppe Vietri, Zhiwei Steven Wu
2022	A*	`conf`	Private Synthetic Data for Multitask Learning and Marginal Queries. NeurIPS Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
2022	J	`jnl`	Private Synthetic Data for Multitask Learning and Marginal Queries. CoRR Giuseppe Vietri, Cédric Archambeau, Sergül Aydöre, William Brown, Michael Kearns, Aaron Roth, Amaresh Ankit Siva, Shuai Tang, Zhiwei Steven Wu
2021	A*	`conf`	Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. NeurIPS Terrance Liu, Giuseppe Vietri, Steven Wu
2021	J	`jnl`	Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods. CoRR Terrance Liu, Giuseppe Vietri, Zhiwei Steven Wu
2021	A*	`conf`	Leveraging Public Data for Practical Private Query Release. ICML Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu
2021	J	`jnl`	Leveraging Public Data for Practical Private Query Release. CoRR Terrance Liu, Giuseppe Vietri, Thomas Steinke, Jonathan R. Ullman, Zhiwei Steven Wu
2020	J	`jnl`	EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement. CoRR Farzana Beente Yusuf, Camilo Valdes, Vitalii Stebliankin, Giuseppe Vietri, Giri Narasimhan
2020	A*	`conf`	New Oracle-Efficient Algorithms for Private Synthetic Data Release. ICML Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu
2020	J	`jnl`	New Oracle-Efficient Algorithms for Private Synthetic Data Release. CoRR Giuseppe Vietri, Grace Tian, Mark Bun, Thomas Steinke, Zhiwei Steven Wu
2020	A*	`conf`	Oracle Efficient Private Non-Convex Optimization. ICML Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
2020	A*	`conf`	Private Reinforcement Learning with PAC and Regret Guarantees. ICML Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
2020	J	`jnl`	Private Reinforcement Learning with PAC and Regret Guarantees. CoRR Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
2019	J	`jnl`	Differentially Private Objective Perturbation: Beyond Smoothness and Convexity. CoRR Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
2018	—	`conf`	Driving Cache Replacement with ML-based LeCaR. HotStorage Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, Giri Narasimhan