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math.OC2023
Integral Quadratic Constraints with Infinite-Dimensional Channels
Aleksandr Talitckii, Peter Seiler, Matthew M. Peet
Modern control theory provides us with a spectrum of methods for studying the interconnection of dynamic systems using input-output properties of the interconnected subsystems. Per…
stat.ML2023★ 1 cited
Efficient Convex Algorithms for Universal Kernel Learning
Aleksandr Talitckii, Brendon K. Colbert, Matthew M. Peet
The accuracy and complexity of machine learning algorithms based on kernel optimization are determined by the set of kernels over which they are able to optimize. An ideal set of k…