Zac Cranko

According to our database, Zac Cranko authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

Information Processing Equalities and the Information-Risk Bridge.

Robert C. Williamson, Zac Cranko

J. Mach. Learn. Res., 2024

2023

The Geometry and Calculus of Losses.

Robert C. Williamson, Zac Cranko

J. Mach. Learn. Res., 2023

2021

Generalised Lipschitz Regularisation Equals Distributional Robustness.

Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith

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

2020

Local Differential Privacy for Sampling.

Hisham Husain, Borja Balle, Zac Cranko, Richard Nock

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Boosted Density Estimation Remastered.

Zac Cranko, Richard Nock

Proceedings of the 36th International Conference on Machine Learning, 2019

Monge blunts Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Lipschitz Networks and Distributional Robustness.

Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock

CoRR, 2018

Integral Privacy for Density Estimation with Approximation Guarantees.

Hisham Husain, Zac Cranko, Richard Nock

CoRR, 2018

Monge beats Bayes: Hardness Results for Adversarial Training.

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder

CoRR, 2018

2017

f-GANs in an Information Geometric Nutshell.

Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017