Zac Cranko
7 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (15)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
Conferences
ICML (3)
JMLR (2)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
variational inference
(3)
exponential family
(2)
generative adversarial network
(2)
proper loss
(2)
density estimation
(2)
multiclass classification
(1)
distributional robustness
(1)
information geometry
(1)
kernel classifier
(1)
adversarial perturbation
(1)
loss function
(1)
synthetic datum
(1)
adversarial example
(1)
statistical decision theory
(1)
lipschitz regularization
(1)
local differential privacy
(1)
convex set
(1)
bayes risk
(1)
boosting theory
(1)
kernel methods
(1)
Papers
Information Processing Equalities and the Information–Risk Bridge
JMLR 2024
The Geometry and Calculus of Losses
JMLR 2023
Generalised Lipschitz Regularisation Equals Distributional Robustness
ICML 2021
Local Differential Privacy for Sampling
AISTATS 2020
Boosted Density Estimation Remastered
ICML 2019
Monge blunts Bayes: Hardness Results for Adversarial Training
ICML 2019
f-GANs in an Information Geometric Nutshell
NIPS 2017