The Three Walls of Pattern Recognition: Fundamental Limits and Structured Approximations in Discrete Bayesian Learning
Machine learning is often advanced by scaling models, data, and computation, yet scaling encounters basic limits of learning. A model may require more memory than a machine can provide, more data than can realistically be collected, or a representation that does not match the structure of the problem. These difficultie...