Hi there, and welcome to my blog.

Here you'll find resources about data science, software engineering, and life. Well, maybe not life...

Hope you enjoy.

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Uncertainty for CTR Prediction: One Model to Clarify Them All

Learn how to handle uncertainty in recommender systems in a principled way using one unified model.

Posted on 21 August 2018

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Recommender Systems: Exploring the Unknown Using Uncertainty

Learn what the exploration-exploitation tradeoff is, and how to use your model's uncertainty to explore new items in a wise manner.

Posted on 14 August 2018

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Neural Networks from a Bayesian Perspective

Learn how to estimate model uncertainty in neural networks.

Posted on 06 August 2018

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Using Uncertainty to Interpret yourÂ Model

Interpreting deep learning models is hard. Learn how to use uncertainty estimates to get insights about what the model has learned.

Posted on 31 July 2018

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Neural Networks gone wild! They can sample from discrete distributions now!

Learn how to use Gumbel distribution to form a NN containing a discrete random component.

Posted on 16 July 2018

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Deep Learning: Theory & Practice

Summary of TCE conference - "Deep Learning: Theory & Practice".

Posted on 18 June 2018

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The Hitchhiker's Guide to Hyperparameter Tuning

Our implementation and usage of hyperparameter tuning at Taboola.

Posted on 14 June 2018

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Word morphing

How to employ word2vec's embeddings and A* search algorithm to morph between words.

Posted on 08 April 2018

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Gated Multimodal Units for Information Fusion

Learn how to train a neural network to use inputs from multiple different modalities using the GMU block.

Posted on 22 March 2018

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Linear regression in the wild

Using linear regression when the dependant variables have measurement errors.

Posted on 01 December 2016

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