April 2021

ALT Highlights – An Interview with Joelle Pineau

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Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021, including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer science. John has been kind enough to host the first post in the series. This initiative is organized by the Learning Theory Alliance, and overseen by Gautam Kamath. […]

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Rip van Winkle's Razor, a Simple New Estimate for Adaptive Data Analysis

Rip van Winkle’s Razor, a Simple New Estimate for Adaptive Data Analysis

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Can you trust a model whose designer had access to the test/holdout set? This implicit question in Dwork et al 2015 launched a new field, adaptive data analysis. The question referred to the fact that in many scientific settings as well as modern machine learning (with its standardized datasets like CIFAR, ImageNet etc.) the model designer has full access to the holdout set and is free to ignore the (Basic Dictum of Data Science) “Thou shalt not train […]

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Mixed Martial Maths - Simple Reasoning Tools For Complex Phenomena

Mixed Martial Maths – Simple Reasoning Tools For Complex Phenomena

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Recently I have been interested in obtaining a very particular skill. I have seen this ability demonstrated by many excellent individuals – not in only in the tech world, but also in finance or consulting industry. I am talking here about the art of back-of-the-napkin (or back-of-the-envelope) calculation, also known as guesstimation or order-of-magnitude analysis. In your professional and private life you may be often presented with difficult question, where the insight is much more important than the […]

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