Neural Methods in Simulation-Based Inference

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A survey of how neural networks are currently being used in simulation-based inference routines.


Things I've Built in Crypto

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A running list of things I've built in and around the crypto space.


Exploring, Crypto

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I'm taking some time to explore: Rust, complex systems, crypto.


Leaving ASAPP

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I left ASAPP after 4+ wonderful years.


Halford Mackinder on Artificial Intelligence

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What would preeminent 20th century geographer Halford J. Mackinder say about the coming revolution in artificial intelligence and its impact on our current ideological war?


Soft Power in the Age of Deepfakes

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What happens when a post-Trump, reputationally-bruised United States, and improved generative models (the technology behind "deepfakes") collide head-on?


On Saudi Drone Strikes and Adversarial AI

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In world of weaponized drones piloted by algorithms, what new strategic opportunities arise?


Artificial Intelligence and Geopolitics

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I'm beginning to write about the intersection of artificial intelligence and geopolitics.


Deriving Mean-Field Variational Bayes

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A detailed derivation of Mean-Field Variational Bayes, its connection to Expectation-Maximization, and its implicit motivation for the "black-box variational inference" methods born in recent years.


Deriving Expectation-Maximization

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Deriving the expectation-maximization algorithm, and the beginnings of its application to LDA. Once finished, its intimate connection to variational inference is apparent.


© Will Wolf 2020

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