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Found 4 papers, 0 papers with code
Correlated bandits or: How to minimize mean-squared error online
Motivated by such applications, we formulate the correlated bandit problem, where the objective is to find the arm with the lowest mean-squared error (MSE) in estimating all the arms.
Reconstructing Gaussian sources by spatial sampling
Consider a Gaussian memoryless multiple source with $m$ components with joint probability distribution known only to lie in a given class of distributions.
Universal Sampling Rate Distortion
The goal is to reconstruct a predesignated subset of sources within a specified level of distortion.
MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization
We experimentally demonstrate that the proposed MKL approach, which we refer to as MKL-RT, can be successfully used to select features for discriminative dimensionality reduction and cross-modal retrieval.
