Charlie Frogner
6 papers · 2007–2021 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (22) π Cross-Pollinator (14) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Conference Polyglot
(5)
π
Academic Marathon
(14)
π
Keyword Champion
π
Trend Setter
Conferences
NIPS (2)
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
approximate inference
(2)
wasserstein distance
(2)
active learning
(1)
semi-supervised learning
(1)
variational inference
(1)
belief propagation
(1)
multi-label learning
(1)
optimal transport
(1)
mutual information
(1)
factored inference
(1)
variable decomposition
(1)
probability measure
(1)
graphical model
(1)
diffusion model
(1)
marginal distribution
(1)
gradient flow
(1)
loss function
(1)
fixed point iteration
(1)
performance guarantee
(1)
dynamic bayesian network
(1)
Papers
Incorporating Unlabeled Data into Distributionally Robust Learning
JMLR 2021
Approximate Inference with Wasserstein Gradient Flows
AISTATS 2020
Learning Embeddings into Entropic Wasserstein Spaces
ICLR 2019
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Learning with a Wasserstein Loss
NIPS 2015
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
NIPS 2007