← Authors

Gunnar Raetsch

7 papers · 2017–2020 · 4 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird

Conferences

ICML (3) NIPS (2) AISTATS (1) JMLR (1)

Top co-authors

Francesco Locatello (6) Bernhard SchΓΆlkopf (4) Olivier Bachem (3) Stefan Bauer (2) Martin Jaggi (2) Sylvain Gelly (2) Michael Tschannen (2) Mario Lucic (2) Vincent Fortuin (1) Gideon Dresdner (1)

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