267 citations · 813 across the 34 of their papers we have counts for
5 papers · 1 filter
A Closer Look at Covering Number Bounds for Gaussian Kernels
Ingo Steinwart, Simon Fischer
We establish some new bounds on the log-covering numbers of (anisotropic) Gaussian reproducing kernel Hilbert spaces. Unlike previous results in this direction we focus on small ex…
PAC-Bayesian Bounds for Deep Gaussian Processes
Roman Föll, Ingo Steinwart
Variational approximation techniques and inference for stochastic models in machine learning has gained much attention the last years. Especially in the case of Gaussian Processes…
Best-scored Random Forest Classification
Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart
We propose an algorithm named best-scored random forest for binary classification problems. The terminology "best-scored" means to select the one with the best empirical performanc…
Improved Classification Rates for Localized SVMs
Ingrid Blaschzyk, Ingo Steinwart
Localized support vector machines solve SVMs on many spatially defined small chunks and one of their main characteristics besides the computational benefit compared to global SVMs…
A Sober Look at Neural Network Initializations
Ingo Steinwart
Initializing the weights and the biases is a key part of the training process of a neural network. Unlike the subsequent optimization phase, however, the initialization phase has g…