2020-05-05 · A brief intoduction to Probabilistic Programming, a tool for modelling tasks with uncertainty.

deep-learning machine-learning probability uncertainty

2019-03-20 · It is becoming increasingly important to understand how a prediction made by a Machine Learning model is informed by its training data.

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An extension of CatBoost to probabilistic forecasting.

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2020-06-29 · Method for training a deterministic deep model that can find and reject out of distribution data points at test time with a single forward pass.

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2017-05-23 · In this post I’m going to introduce Bayesian deep learning (BDL), which provides a deep learning framework which can also model uncertainty.

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2020-05-26 · Combining learning and model-based strategies for sample-efficient policy learning.

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