10 citations · 77 across the 28 of their papers we have counts for
4 papers · 1 filter
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
Rui Zhang, Christian J. Walder, Edwin V. Bonilla +2
Approximate inference techniques are the cornerstone of probabilistic methods based on Gaussian process priors. Despite this, most work approximately optimizes standard divergence…
Computer Assisted Composition in Continuous Time
Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont +9
We address the problem of combining sequence models of symbolic music with user defined constraints. For typical models this is non-trivial as only the conditional distribution of…
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Rui Zhang, Christian Walder, Marian-Andrei Rizoiu
The Hawkes process (HP) has been widely applied to modeling self-exciting events including neuron spikes, earthquakes and tweets. To avoid designing parametric triggering kernel an…
New Tricks for Estimating Gradients of Expectations
Christian J. Walder, Paul Roussel, Richard Nock +2
We introduce a family of pairwise stochastic gradient estimators for gradients of expectations, which are related to the log-derivative trick, but involve pairwise interactions bet…