probability – Andrew Fairless, Ph.D.

What I Read: Flow

By Andrew Fairless on March 18, 2025November 20, 2024

https://drscotthawley.github.io/blog/posts/FlowModels.html Flow With What You KnowScott H. HawleyNovember 13, 2024 “In this tutorial post, we provide an accessible introduction to flow-matching and rectified flow models, which are increasingly at theContinue readingWhat I Read: Flow

What I Read: Quiz, Bayesian

By Andrew Fairless on March 10, 2025November 17, 2024

https://towardsdatascience.com/how-to-tackle-the-weekend-quiz-like-a-bayesian-b5e035ba3746?gi=57434a5858ed How to Tackle the Weekend Quiz Like a BayesianJunta SekimoriOct 28, 2024 “What is malmsey: a mild hangover, a witch’s curse or a fortified wine? Assuming we have noContinue readingWhat I Read: Quiz, Bayesian

What I Read: degree certainty

By Andrew Fairless on February 24, 2025November 9, 2024

https://blog.alexalemi.com/a-degree-of-certainty.html A Degree of CertaintyAlexander A. Alemi2024-08-14 “None of the common ways to measure proabilities are statistically uniform. What do I mean by this? Not all 1% changes in probabilityContinue readingWhat I Read: degree certainty

What I Read: probability generating

By Andrew Fairless on February 20, 2025November 9, 2024

https://entropicthoughts.com/probability-generating-functions Probability-Generating FunctionsChris2024-10-29 “I have long struggled with understanding what probability-generating functions are and how to intuit them. There were two pieces of the puzzle missing for me, and we’llContinue readingWhat I Read: probability generating

What I Read: Sampling, SQL

By Andrew Fairless on February 17, 2025October 25, 2024

https://blog.moertel.com/posts/2024-08-23-sampling-with-sql.html Sampling with SQLTom MoertelAugust 23, 2024 “Sampling is one of the most powerful tools you can wield to extract meaning from large datasets…. If you know how to takeContinue readingWhat I Read: Sampling, SQL

What I Read: Gaussians

By Andrew Fairless on February 13, 2025October 25, 2024

https://gestalt.ink/gaussians Understanding Gaussians “The Gaussian distribution, or normal distribution is a key subject in statistics, machine learning, physics, and pretty much any other field that deals with data and probability.”

What I Read: Unit Disk Sampling

By Andrew Fairless on February 10, 2025October 25, 2024

https://towardsdatascience.com/unit-disk-uniform-sampling-91880f3740fa?gi=4b73b464a4d0 Unit Disk Uniform SamplingThomas RouchSep 16, 2024 “Discover the optimal transformations to apply on the standard [0,1] uniform random generator for uniformly sampling a 2D disk”

What I Read: KL All You Need

By Andrew Fairless on August 21, 2024June 4, 2024

https://blog.alexalemi.com/kl-is-all-you-need.html KL is All You NeedAlexander A. Alemi2024-01-08 “…the core of essentially all modern machine learning methods is a single universal objective: Kullback-Leibler (KL) divergence minimization…. Understand KL, understand theContinue readingWhat I Read: KL All You Need

What I Read: Flow Matching

By Andrew Fairless on June 26, 2024April 23, 2024

https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html An introduction to Flow MatchingTor Fjelde, Emile Mathieu, Vincent Dutordoir “Flow matching (FM) is a recent generative modelling paradigm which has rapidly been gaining popularity in the deep probabilisticContinue readingWhat I Read: Flow Matching

What I Read: Linear Algebra, Random

By Andrew Fairless on June 17, 2024April 15, 2024

https://youtu.be/6htbyY3rH1w?si=IXTrcoIReps_ftFq Is the Future of Linear Algebra.. Random?Mutual Information “Randomization is arguably the most exciting and innovative idea to have hit linear algebra in a long time.”

Tag: probability