Giuseppe Vietri

According to our database1, Giuseppe Vietri authored at least 9 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Improved Regret for Differentially Private Exploration in Linear MDP.
Proceedings of the International Conference on Machine Learning, 2022

2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Public Data for Practical Private Query Release.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement.
CoRR, 2020

New Oracle-Efficient Algorithms for Private Synthetic Data Release.
Proceedings of the 37th International Conference on Machine Learning, 2020

Private Reinforcement Learning with PAC and Regret Guarantees.
Proceedings of the 37th International Conference on Machine Learning, 2020

Oracle Efficient Private Non-Convex Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Differentially Private Objective Perturbation: Beyond Smoothness and Convexity.
CoRR, 2019

2018
Driving Cache Replacement with ML-based LeCaR.
Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018


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