Andrew Fairless, Ph.D.

2025-08-11

What I Read: Reservoir Sampling
2025-08-06

What I Read: Poisson distribution
2025-06-17

What I Read: Conditional Flow Matching
2025-06-02

What I Read: Model calibration
2025-05-20

What I Read: individual risk
2025-03-18

What I Read: flow
2025-03-10

What I Read: quiz, Bayesian
2025-02-24

What I Read: degree certainty
2025-02-20

What I Read: probability generating
2025-02-17

What I Read: sampling, SQL
2025-02-13

What I Read: Gaussians
2025-02-10

What I Read: Unit Disk Sampling
2024-08-21

What I Read: KL All You Need
2024-06-26

What I Read: Flow Matching
2024-06-17

What I Read: Linear Algebra, Random
2024-05-23

What I Read: Lincoln, confidence intervals
2024-04-15

What I Read: Probabilistic Linkage, Data Deduplication
2024-03-19

What I Read: Sampling Text Generation
2024-03-18

What I Read: Chatbots Understand Text
2024-03-12

What I Read: Safety, Autonomous Vehicles
2023-12-21

What I Read: Understanding Moments
2023-06-07

What I Read: different meanings of p-value
2023-04-26

What I Read: Bloom filter
2023-03-06

What I Read: Modern AI Art
2023-02-13

What I Read: Convolutions, Probability
2022-08-23

What I Read: Estimating Model Performance
2022-07-11

What I Read: Weak Supervision
2022-04-05

What I Read: Musings on typicality
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
2021-10-25

What I Read: binary cross-entropy, log loss
2021-10-20

What I Read: Machine learning is not nonparametric statistics
2021-09-05

Information theory for toddlers

A low-entropy bedtime story
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2021-02-11

What I Read: Causal Reasoning in Probability Trees
2021-01-23

What I Read: Multi-Armed Bandits and Experimentation
2021-01-03

What I Read: Computers Roll Loaded Dice
2021-01-01

What I Read: data distributions
2020-12-18

What I Watch: Probabilities of probabilities binomial
2020-11-28

What I Watch: Bayes theorem