Search papers, labs, and topics across Lattice.
University of Pennsylvania
2
0
3
Deterministic predictors can now achieve optimal multicalibration sample complexity, challenging the long-held belief that randomization was necessary.
High-performance ML models can be reproduced with minimal information, revealing that they thrive in low-complexity regions and defy traditional overfitting concerns.
