538 citations
- University College LondonGB83 papers
- University of CambridgeGB12 papers
- University of OxfordGB12 papers
- Institut national de recherche en sciences et technologies du numériqueFR8 papers
- Max Planck Institute for Intelligent SystemsDE7 papers
- University of LondonGB7 papers
- Gatsby Charitable FoundationGB6 papers
- The Institute of Statistical MathematicsJP6 papers
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- Google DeepMind (United Kingdom)GB4 papers
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Showing 2020 · stat.MLShow all
3 papers · 2 filters
stat.ML2020★ 4 cited
A Weaker Faithfulness Assumption based on Triple Interactions
Alexander Marx, Arthur Gretton, Joris M. Mooij
One of the core assumptions in causal discovery is the faithfulness assumption, i.e., assuming that independencies found in the data are due to separations in the true causal graph…
stat.ML2020★ 1 cited
Amortised Learning by Wake-Sleep
Li K. Wenliang, Theodore Moskovitz, Heishiro Kanagawa +1
Models that employ latent variables to capture structure in observed data lie at the heart of many current unsupervised learning algorithms, but exact maximum-likelihood learning f…
stat.ML2020★ 13 cited
Robust Pruning at Initialization
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet +1
Overparameterized Neural Networks (NN) display state-of-the-art performance. However, there is a growing need for smaller, energy-efficient, neural networks tobe able to use machin…