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The Gumbel-Max Trick
When we set out to learn a function or some property of it (like its maximum), we hope it is differentiable, because that means we have at our disposal a host of well-studied, and often fast, techniques.
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Evaluating LLMs - Notes on a NeurIPS'24 Tutorial
I attended NeurIPS’24 virtually, and I was happy to see that they had two tutorials on topics that I care about.
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Inactive Learning?
I totally stole the title from a paper (Attenberg & Provost, 2011).
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Jensen's Inequality - A Visual Intuition
Jensen’s inequality finds widespread application in mathematical proofs.
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Bayesian Optimization, Part 1: Key Ideas, Gaussian Processes
The real reason I like Bayesian Optimization: lots of pretty pictures!
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Bayesian Optimization, Part 2: Acquisition Functions
This post continues our discussion on BayesOpt.
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Fun with GMMs
Generative Models have been all the rage in AI lately, be it image generators like Stable Diffusion or text generators like ChatGPT.
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Hello New Blog!
Moving to a new place can be hectic and tiresome.