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Found 3 papers, 1 papers with code
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization
The evaluation of hyperparameters, neural architectures, or data augmentation policies becomes a critical model selection problem in advanced deep learning with a large hyperparameter search space.
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
We consider saddle point problems which objective functions are the average of $n$ strongly convex-concave individual components.
The Error Probability of Random Fourier Features is Dimensionality Independent
We show that the error probability of reconstructing kernel matrices from Random Fourier Features for the Gaussian kernel function is at most $\mathcal{O}(R^{2/3} \exp(-D))$, where $D$ is the number of random features and $R$ is the diameter of the data domain.
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