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Found 4 papers, 1 papers with code
Censored Semi-Bandits for Resource Allocation
The loss depends on two hidden parameters, one specific to the arm but independent of the resource allocation, and the other depends on the allocated resource.
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
We study this novel setting by establishing its `equivalence' to Multiple-Play Multi-Armed Bandits(MP-MAB) and Combinatorial Semi-Bandits.
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
We propose an alternative PAC-based bound, which do not depend on the VC dimension of the underlying function class, but is related to the famous Lov\'{a}sz~$\vartheta$ function.
Controlled Sparsity Kernel Learning
The CSKL formulation introduces a parameter t which directly corresponds to the number of kernels selected.
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