The best Experimental Methodology newsletters

Amrit Kumar writes about machine learning training, moving from per-example scheduling experiments that failed to beat uniform sampling toward Aethos, a platform that decides early in a run whether continuing is worth the compute. The posts are candid about experimental bias and negative results, backed by specific benchmarks and numbers.