Zac Cranko

15 papers A* 3A 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Information Processing Equalities and the Information-Risk Bridge.
J. Mach. Learn. Res.
Robert C. Williamson, Zac Cranko
2023 J jnl
The Geometry and Calculus of Losses.
J. Mach. Learn. Res.
Robert C. Williamson, Zac Cranko
2022 J jnl
Information Processing Equalities and the Information-Risk Bridge.
CoRR
Robert C. Williamson, Zac Cranko
2022 J jnl
The Geometry and Calculus of Losses.
CoRR
Robert C. Williamson, Zac Cranko
2021 A* conf
Generalised Lipschitz Regularisation Equals Distributional Robustness.
ICML
Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2020 J jnl
Generalised Lipschitz Regularisation Equals Distributional Robustness.
CoRR
Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith
2020 A conf
Local Differential Privacy for Sampling.
AISTATS
Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
2019 A* conf
Boosted Density Estimation Remastered.
ICML
Zac Cranko, Richard Nock
2019 A* conf
Monge blunts Bayes: Hardness Results for Adversarial Training.
ICML
Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder
2018 J jnl
Boosted Density Estimation Remastered.
CoRR
Zac Cranko, Richard Nock
2018 J jnl
Integral Privacy for Density Estimation with Approximation Guarantees.
CoRR
Hisham Husain, Zac Cranko, Richard Nock
2018 J jnl
Lipschitz Networks and Distributional Robustness.
CoRR
Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock
2018 J jnl
Monge beats Bayes: Hardness Results for Adversarial Training.
CoRR
Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder
2017 — conf
f-GANs in an Information Geometric Nutshell.
NIPS
Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson
2017 J jnl
f-GANs in an Information Geometric Nutshell.
CoRR
Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson