Gunnar Raetsch
7 papers · 2017–2020 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
disentangled representation
(3)
inductive bia
(2)
matching pursuit
(2)
unsupervised learning
(2)
convex optimization
(1)
bayesian inference
(1)
weakly supervised learning
(1)
gaussian process
(1)
covariate shift
(1)
coordinate descent
(1)
model evidence
(1)
greedy algorithm
(1)
convergence rate
(1)
variational autoencoder
(1)
time series imputation
(1)
evaluation metric
(1)
evidence lower bound
(1)
first-order optimization
(1)
frank-wolfe algorithm
(1)
accelerated convergence
(1)
Papers
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
JMLR 2020
GP-VAE: Deep Probabilistic Time Series Imputation
AISTATS 2020
Weakly-Supervised Disentanglement Without Compromises
ICML 2020
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
ICML 2019
Boosting Black Box Variational Inference
NeurIPS 2018
On Matching Pursuit and Coordinate Descent
ICML 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
NeurIPS 2017