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stat.ML2021★ 6 cited
Conditioning of Random Feature Matrices: Double Descent and Generalization Error
Zhijun Chen, Hayden Schaeffer
We provide (high probability) bounds on the condition number of random feature matrices. In particular, we show that if the complexity ratio where is the number o…
stat.ML2019
Extending the step-size restriction for gradient descent to avoid strict saddle points
Hayden Schaeffer, Scott G. McCalla
We provide larger step-size restrictions for which gradient descent based algorithms (almost surely) avoid strict saddle points. In particular, consider a twice differentiable (non…