
Corrupted Sensing: Novel Guarantees for Separating Structured Signals
We study the problem of corrupted sensing, a generalization of compresse...
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Nonparametric Reduced Rank Regression
We propose an approach to multivariate nonparametric regression that gen...
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Matrix reconstruction with the local max norm
We introduce a new family of matrix norms, the "local max" norms, genera...
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Sparse Prediction with the kSupport Norm
We derive a novel norm that corresponds to the tightest convex relaxatio...
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Learning with the Weighted Tracenorm under Arbitrary Sampling Distributions
We provide rigorous guarantees on learning with the weighted tracenorm ...
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ConcentrationBased Guarantees for LowRank Matrix Reconstruction
We consider the problem of approximately reconstructing a partiallyobse...
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Exact blockwise optimization in group lasso and sparse group lasso for linear regression
The group lasso is a penalized regression method, used in regression pro...
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Rina Foygel
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