Search Results for author:
Found 3 papers, 0 papers with code
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Since statistical guarantees for neural networks are usually restricted to global optima of intricate objective functions, it is not clear whether these theories really explain the performances of actual outputs of neural-network pipelines.
Statistical Guarantees for Regularized Neural Networks
Neural networks have become standard tools in the analysis of data, but they lack comprehensive mathematical theories.
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression
Modern technologies are generating ever-increasing amounts of data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
