Giorgio Patrini

According to our database, Giorgio Patrini authored at least 17 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

The Impact of Record Linkage on Learning from Feature Partitioned Data.

Richard Nock, Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Jakub Nabaglo, Giorgio Patrini, Guillaume Smith, Brian Thorne

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

SEALion: a Framework for Neural Network Inference on Encrypted Data.

Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law

CoRR, 2019

Sinkhorn AutoEncoders.

Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Three Tools for Practical Differential Privacy.

Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini

CoRR, 2018

Entity Resolution and Federated Learning get a Federated Resolution.

Richard Nock, Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Giorgio Patrini, Guillaume Smith, Brian Thorne

CoRR, 2018

2017

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.

Stephen Hardy, Wilko Henecka, Hamish Ivey-Law, Richard Nock, Giorgio Patrini, Guillaume Smith, Brian Thorne

CoRR, 2017

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach.

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Tsallis Regularized Optimal Transport and Ecological Inference.

Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Making Neural Networks Robust to Label Noise: a Loss Correction Approach.

Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu

CoRR, 2016

The Crossover Process: Learnability meets Protection from Inference Attacks.

Richard Nock, Giorgio Patrini, Finnian Lattimore, Tibério S. Caetano

CoRR, 2016

Fast Learning from Distributed Datasets without Entity Matching.

Giorgio Patrini, Richard Nock, Stephen Hardy, Tibério S. Caetano

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Loss factorization, weakly supervised learning and label noise robustness.

Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Rademacher Observations, Private Data, and Boosting.

Richard Nock, Giorgio Patrini, Arik Friedman

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

(Almost) No Label No Cry.

Giorgio Patrini, Richard Nock, Tibério S. Caetano, Paul Rivera

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

Combining local search techniques and path following for bimatrix games.

Nicola Gatti, Giorgio Patrini, Marco Rocco, Tuomas Sandholm

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2010

Local Search Methods for Finding a Nash Equilibrium in Two-Player Games.

Sofia Ceppi, Nicola Gatti, Giorgio Patrini, Marco Rocco

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

Local search techniques for computing equilibria in two-player general-sum strategic-form games.

Sofia Ceppi, Nicola Gatti, Giorgio Patrini, Marco Rocco

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010