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Markov Chain Monte Carlo Without All the Bullshit (2015)

5 days ago jeremykun.com

Attention Spans for Math and Stories (2019)

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Explainable Linear Programs

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How This Blog Does IndieWeb

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MLIR — Defining Patterns with PDLL

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Group actions and hashing unordered multisets (2021)

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The Reasonable Effectiveness of the Multiplicative Weights Update Algorithm

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A High-Level Technical Overview of Homomorphic Encryption

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MLIR — A Global Optimization and Dataflow Analysis

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MLIR — Lowering through LLVM

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MLIR — Folders and Constant Propagation

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MLIR — Using Traits

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Proof Gallery

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NP-hard does not mean hard (2017)

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MLIR for Beginners — Defining a New Dialect

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We're Knot Friends

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Google’s fully homomorphic encryption compiler – a primer

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Markov chain Monte Carlo without the bullshit (2015)

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My next book will be "Practical Math for Programmers"

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All Horses Are the Same Color

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Probably Approximately Correct – A Formal Theory of Learning (2014)

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The Reasonable Effectiveness of the Multiplicative Weights Update Algorithm

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Regression and Linear Combinations

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The Communicative Value of Using Git Well

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Taylor Series and Accelerometers

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The Communicative Value of Using Git Well

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A Good Year for “A Programmer’s Introduction to Mathematics”

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Math versus Dirty Data

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A Working Mathematician’s Guide to Parsing

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A Programmer's Introduction to Mathematics

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