Gunnar Raetsch
7 papers · 2017–2020 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13)
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Hot Topic Early Bird
Conferences
ICML (3)
NIPS (2)
AISTATS (1)
JMLR (1)
Top co-authors
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
Weakly-Supervised Disentanglement Without Compromises
ICML 2020
GP-VAE: Deep Probabilistic Time Series Imputation
AISTATS 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation
JMLR 2020
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
ICML 2019
On Matching Pursuit and Coordinate Descent
ICML 2018
Boosting Black Box Variational Inference
NIPS 2018
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
NIPS 2017