Giuseppe Vietri

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Multitask Learning

Multi Armed Bandit

Top Venues

Publications

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