Approximating Implicit Matrix Factorization with Shallow Neural Networks

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In this post, we look to beat the performance of Implicit Matrix Factorization on a recommendation task using 5 different neural network architectures.


Ordered Categorical GLMs for Product Feedback Scores

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A follow-up to Erik Bernhardsson's post "More MCMC – Analyzing a small dataset with 1-5 ratings" using ordered categorical generalized linear models.


Intercausal Reasoning in Bayesian Networks

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Simple intercausal reasoning on a 3-node Bayesian network.


Bayesian Inference via Simulated Annealing

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A toy, hand-rolled Bayesian model, optimized via simulated annealing.


RescueTime Inference via the "Poor Man's Dirichlet"

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Modeling a typical week of RescueTime data via an alternative take on the Dirichlet distribution.


Generating World Flags with Sparse Auto-Encoders

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Hand-rolled sparse autoencoders to generate novel world flags.


Docker and Kaggle with Ernie and Bert

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An introduction to what Docker is and why and how to use it for Kaggle.


While We Were Busy with Prosperity

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Some whirling thoughts on the Trump election.


Recurrent Neural Network Gradients, and Lessons Learned Therein

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Recurrent neural network gradients by hand.


Simulating the Colombian Peace Vote: Did the "No" Really Win?

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A post-mortem statistical simulation of the 2016 Colombian plebiscite.


© Will Wolf 2017

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