Charlie Frogner
6 papers · 2007–2021 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Deep Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
approximate inference
(2)
optimal transport
(2)
wasserstein distance
(2)
representation learning
(1)
semi-supervised learning
(1)
variational inference
(1)
belief propagation
(1)
multi-label learning
(1)
mutual information
(1)
probability distribution
(1)
factored inference
(1)
variable decomposition
(1)
stochastic process
(1)
probability measure
(1)
graphical model
(1)
diffusion model
(1)
marginal distribution
(1)
gradient flow
(1)
loss function
(1)
performance guarantee
(1)
Papers
Incorporating Unlabeled Data into Distributionally Robust Learning
JMLR 2021
Approximate Inference with Wasserstein Gradient Flows
AISTATS 2020
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Learning Embeddings into Entropic Wasserstein Spaces
ICLR 2019
Learning with a Wasserstein Loss
NeurIPS 2015
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
NeurIPS 2007