Search papers, labs, and topics across Lattice.
Affiliation:
2
0
1
No Free Lunch theorems render classical statistical mechanics and meta-learning incapable of explaining foundation model generalization, leaving relativized Solomonoff induction as the only mathematically sound explanation for how frontier systems learn.
Type I error inflation in conditional independence testing can be drastically reduced without sacrificing power, thanks to a novel betting-based approach.
