Andrew Fairless, Ph.D.
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Entries tagged :: prior
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2025-07-29
What I Read: Scaling RL
2023-08-26
Updating Our Predictions with New Data: Visualizing 3 Choices
As we add outcomes to our model, the concepts stay the same but the dynamics grow more complex. Viewing animations of the model can help us develop intuitions about how it works.
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2023-02-06
Updating our predictions with new data: basketball edition
We start the season thinking our team is this good (or bad). But as the wins and losses pile up, how do we update our priors?
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2022-09-19
What I Read: introduction to NumPyro
2022-09-01
What I Read: Short Time Series
2022-03-07
What I Read: Generative Modeling by Estimating Gradients
2022-02-21
What I Read: Bayesian Geometry
2021-11-30
What I Read: How to assign partial credit on an exam of true-false questions
2021-10-07
What I Read: Bayesian Media Mix Modeling
2021-02-15
What I Read: Revisiting Sutton’s Bitter Lesson for AI
2020-12-07
What I Read: Bayesian Neural Networks Need Not Concentrate
2020-12-06
What I Read: The Case for Bayesian Deep Learning