posts on machine learning, statistics, opinions on things I'm reading in the space
Exemplar CNNs and Information Maximization
May 11th, 2017
Is Maximum Likelihood Useful for Representation Learning?
May 4th, 2017
Unsupervised Learning by Predicting Noise: an Information Maximization View
April 21st, 2017
Evolution Strategies, Variational Optimisation and Natural ES
April 6th, 2017
Evolution Strategies: Almost Embarrassingly Parallel Optimization
March 30th, 2017
Choice of Recognition Models in VAEs: a regularisation view.
March 28th, 2017
Comment on "Overcoming catastrophic forgetting in NNs": Are multiple penalties needed?
March 16th, 2017
The Spherical Kernel Divergence
March 9th, 2017
Variational Inference using Implicit Models
February 28th, 2017
Variational Inference using Implicit Models Part III: Joint-Contrastive Inference, ALI and BiGAN
February 9th, 2017
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