person
Trevor Hastie
Stanford statistics; ML pioneer
Stanford John A. Overdeck Professor of Statistics. Co-author of the canonical statistical-learning textbooks 'The Elements of Statistical Learning' (2001) and 'An Introduction to Statistical Learning' (2013).
current John A. Overdeck Professor of Statistics, Stanford University
Strategy positions
AI skepticmixed
AGI risk narratives overstated; real harms are mundane and currentArgues classical statistical learning principles still constrain what deep learning can do reliably; warns that ignoring those constraints in deployed systems leads to predictable failures.
Most of the lessons of statistical learning still apply to neural networks: bias-variance trade-offs, regularization, distribution shift. Pretending these have been transcended is how we get unreliable systems in production.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Trevor Hastie's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.