Zac Cranko
7 papers · 2017–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Mathematics
(2)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
variational inference
(3)
density estimation
(2)
generative adversarial network
(2)
proper loss
(2)
exponential family
(2)
multi-class classification
(1)
distributional robustness
(1)
information geometry
(1)
kernel classifier
(1)
adversarial perturbation
(1)
loss function
(1)
synthetic data
(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
NeurIPS 2017