The fine art of crate digging - by Ben Recht - arg min
Alexeev and Mixon's resolution of Erdős problem 707 and the vastness of the library.| www.argmin.net
Alexeev and Mixon's resolution of Erdős problem 707 and the vastness of the library.| www.argmin.net
When insight comes from willful forgetting.| www.argmin.net
A Casino Where You Never Lose - Monte Carlo Algorithms.| www.argmin.net
Building prediction intervals using what we know about confidence intervals| www.argmin.net
Quantiles, Prediction Intervals, and what theory can tell you about the future.| www.argmin.net
Robustness of the holdout method and paths forward for machine learning theory.| arg min
The only validated theories of generalization are sociological and historical.| arg min
You don't need a theorem to argue more data is better than less data| arg min
What are the most important lessons from optimization theory for machine learning?| arg min
A dialogue about the use and meaning of statistics with Ben Chugg| arg min
Resolving the legacy of Paul Meehl's troubling little book.| www.argmin.net
arg min: a blog of minimum value. on the history, foundations, and validity of "optimally" automated decision making. Click to read arg min, by Ben Recht, a Substack publication with thousands of subscribers.| www.argmin.net
The infinite regress of evaluating large language models| www.argmin.net
I’ll be live blogging my graduate course on machine learning this semester (Fall 2025).| www.argmin.net
Chatbot companies are harmful and dishonest. How can we hold them accountable?| www.argmin.net
Revisiting Sutton’s Bitter Lesson essay in the light of GPT5| www.argmin.net
A book about how we gave computers the power to decide for us| www.argmin.net
Why do evaluations tend to find that social programs don't work?| www.argmin.net
In which I feel very seen by David Donoho| www.argmin.net
Test-set reuse: the problem that wasn't.| www.argmin.net
Introduction: Blogging Philosophical Psychology| www.argmin.net
