Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations

Artur Miroszewski

Kernel methods are typically formulated under the assumption of exact, noise-free access to the Gram matrix. However, in emerging settings each kernel entry must be inferred from n…