Frank Nielsen
13 papers · 2008–2024 · 5 venues · across top CS/AI venues
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Research topics
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Optimization & Theory Β· Machine Learning
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Optimization
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Keywords
second-order optimization
(2)
generative model
(2)
sinkhorn algorithm
(2)
optimal transport
(2)
variational inference
(2)
bayesian inference
(1)
convex optimization
(1)
differential privacy
(1)
embedding learning
(1)
risk minimization
(1)
uncertainty quantification
(1)
weakly supervised learning
(1)
supervised learning
(1)
deep learning
(1)
natural gradient
(1)
k-means clustering
(1)
maximum likelihood
(1)
fisher information
(1)
neural network optimization
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information bottleneck
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Papers
A Rate-Distortion View of Uncertainty Quantification
ICML 2024
Hyperbolic Embeddings of Supervised Models
NeurIPS 2024
Optimal Transport with Tempered Exponential Measures
AAAI 2024
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
q-Paths: Generalizing the geometric annealing path using power means
UAI 2021
Tractable structured natural-gradient descent using local parameterizations
ICML 2021
Sinkhorn AutoEncoders
UAI 2019
DeepBach: a Steerable Model for Bach Chorales Generation
ICML 2017
Relative Fisher Information and Natural Gradient for Learning Large Modular Models
ICML 2017
Clustering Financial Time Series: How Long Is Enough?
IJCAI 2016
k-variates++: more pluses in the k-means++
ICML 2016
Loss factorization, weakly supervised learning and label noise robustness
ICML 2016
On the Efficient Minimization of Classification Calibrated Surrogates
NeurIPS 2008