Leonard Hasenclever

According to our database1, Leonard Hasenclever authored at least 7 papers between 2014 and 2018.

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Timeline

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Bibliography

2018
Mix&Match - Agent Curricula for Reinforcement Learning.
CoRR, 2018

Sylvester Normalizing Flows for Variational Inference.
CoRR, 2018

Mix & Match Agent Curricula for Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.
Journal of Machine Learning Research, 2017

Relativistic Monte Carlo.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server.
CoRR, 2015

2014
An investigation into irreducible autocatalytic sets and power law distributed catalysis.
Natural Computing, 2014


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